# full_llm_cache

prompt:
[{"lc": 1, "type": "constructor", "id": ["langchain", "schema", "messages", "HumanMessage"], "kwargs": {"content": "Answer the question based only on the following context. If you cannot answer the question with the context, please respond with 'I don't know':\n\nContext:\nEXHIBIT 21.1\nSUBSIDIARIES OF REGISTRANT\nThe following is a list of subsidiaries of NVIDIA Corporation as of January 28, 2024, omitting subsidiaries which, considered in the aggregate,\nwould not constitute a significant subsidiary.\nSubsidiaries of Registrant (All 100% owned)\nState or Other Jurisdiction of Incorporation\nMellanox Technologies, Ltd\nIsrael\nNVIDIA International, Inc.\nDelaware, U.S.\nNVIDIA Singapore Pte Ltd\nSingapore\n\nPursuant to the requirements of the Securities Exchange Act of 1934, this report has been signed below by the following persons on behalf of the registrant and\nin the capacities and on the dates indicated.\nSignature\nTitle\nDate\n/s/ JEN-HSUN HUANG \nPresident, Chief Executive Officer and Director\n(Principal Executive Officer)\nFebruary 21, 2024\nJen-Hsun Huang\n \n/s/ COLETTE M. KRESS \nExecutive Vice President and Chief Financial Officer\n(Principal Financial Officer)\nFebruary 21, 2024\nColette M. Kress\n \n/s/ DONALD ROBERTSON\nVice President and Chief Accounting Officer\n(Principal Accounting Officer)\nFebruary 21, 2024\nDonald Robertson\n/s/ ROBERT BURGESS\nDirector\nFebruary 21, 2024\nRobert Burgess\n/s/ TENCH COXE  \nDirector\nFebruary 21, 2024\nTench Coxe \n \n/s/ JOHN O. DABIRI\nDirector\nFebruary 21, 2024\nJohn O. Dabiri\n \n/s/ PERSIS DRELL\nDirector\nFebruary 21, 2024\nPersis Drell\n/s/ DAWN HUDSON\nDirector\nFebruary 21, 2024\nDawn Hudson\n/s/ HARVEY C. JONES \nDirector\nFebruary 21, 2024\nHarvey C. Jones\n \n/s/ MELISSA B. LORA\nDirector\nFebruary 21, 2024\nMelissa B. Lora\n/s/ MICHAEL MCCAFFERY\nDirector\nFebruary 21, 2024\nMichael McCaffery\n/s/ STEPHEN C. NEAL\nDirector\nFebruary 21, 2024\nStephen C. Neal\n/s/ MARK L. PERRY \nDirector\nFebruary 21, 2024\nMark L. Perry \n \n/s/ A. BROOKE SEAWELL\nDirector\nFebruary 21, 2024\nA. Brooke Seawell \n/s/ AARTI SHAH\nDirector\nFebruary 21, 2024\nAarti Shah\n/s/ MARK STEVENS\nDirector\nFebruary 21, 2024\nMark Stevens \n \n85\n\n10.7+\nAmended and Restated 2007 Equity Incentive Plan \u2013 Global Restricted Stock\nUnit Grant Notice and Global Restricted Stock Unit Agreement (2021)\n10-Q\n10.2\n5/26/2021\n10.8+\nAmended and Restated 2007 Equity Incentive Plan \u2013 Global Restricted Stock\nUnit Grant Notice and Global Restricted Stock Unit Agreement (2022)\n10-K\n10.16\n3/18/2022\n10.9+\nAmended and Restated 2007 Equity Incentive Plan \u2013 Global Restricted Stock\nUnit Grant Notice and Global Restricted Stock Unit Agreement (2023)\n10-K\n10.14\n2/24/2023\n10.10+\nAmended and Restated 2012 Employee Stock Purchase Plan\n10-Q\n10.2\n8/20/2021\n10.11+\nVariable Compensation Plan - Fiscal Year 2023\n8-K\n10.1\n3/9/2022\n10.12+\nVariable Compensation Plan - Fiscal Year 2024\n8-K\n10.1\n3/8/2023\n10.13\nForm of Commercial Paper Dealer Agreement between NVIDIA Corporation, as\nIssuer, and the Dealer party thereto\n8-K\n10.1\n12/15/2017\n21.1*\nSubsidiaries of Registrant\n23.1*\nConsent of PricewaterhouseCoopers LLP\n24.1*\nPower of Attorney (included in signature page)\n31.1*\nCertification of Chief Executive Officer as required by Rule 13a-14(a) of the Securities Exchange Act of 1934\n31.2*\nCertification of Chief Financial Officer as required by Rule 13a-14(a) of the Securities Exchange Act of 1934\n32.1#*\nCertification of Chief Executive Officer as required by Rule 13a-14(b) of the Securities Exchange Act of 1934\n32.2#*\nCertification of Chief Financial Officer as required by Rule 13a-14(b) of the Securities Exchange Act of 1934\n97.1+*\nCompensation Recovery Policy, as amended and restated November 30, 2023\n101.INS*\nXBRL Instance Document\n101.SCH*\nXBRL Taxonomy Extension Schema Document\n101.CAL*\nXBRL Taxonomy Extension Calculation Linkbase Document\n101.DEF*\nXBRL Taxonomy Extension Definition Linkbase Document\n101.LAB*\nXBRL Taxonomy Extension Labels Linkbase Document\n101.PRE*\nXBRL Taxonomy Extension Presentation Linkbase Document\n104\nCover Page Interactive Data File - the cover page interactive data file does not appear in the Interactive Data File because its XBRL tags\nare embedded within the Inline XBRL document\n*  Filed herewith.\n+  Management contract or compensatory plan or arrangement.\n# In accordance with Item 601(b)(32)(ii) of Regulation S-K and SEC Release Nos. 33-8238 and 34-47986, Final Rule: Management's Reports on Internal Control Over Financial Reporting and Certification of\nDisclosure in Exchange Act Periodic Reports, the certifications furnished in Exhibits 32.1 and 32.2 hereto are deemed to accompany this Annual Report on Form 10-K and will not be deemed \u201cfiled\u201d for\npurpose of Section 18 of the Exchange Act. Such certifications will not be deemed to be incorporated by reference into any filing under the Securities Act or the Exchange Act, except to the extent that the\nregistrant specifically incorporates it by reference.\n^ Certain exhibits and schedules have been omitted in accordance with Regulation S-K Item 601(a)(5).\n\nTable of Contents\nUNITED STATES\nSECURITIES AND EXCHANGE COMMISSION\nWashington, D.C. 20549\n____________________________________________________________________________________________\nFORM 10-K\n\u2612\nANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934\n    For the fiscal year ended January 28, 2024\nOR\n\u2610\nTRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934\nCommission file number: 0-23985\n \n \nNVIDIA CORPORATION\n(Exact name of registrant as specified in its charter)\nDelaware\n94-3177549\n(State or other jurisdiction of\n(I.R.S. Employer\nincorporation or organization)\nIdentification No.)\n   2788 San Tomas Expressway, Santa Clara, California\n95051\n  (Address of principal executive offices)\n(Zip Code)\nRegistrant\u2019s telephone number, including area code: (408) 486-2000\nSecurities registered pursuant to Section 12(b) of the Act:\nTitle of each class\nTrading Symbol(s)\nName of each exchange on which registered\nCommon Stock, $0.001 par value per share\nNVDA\nThe Nasdaq Global Select Market\nSecurities registered pursuant to Section 12(g) of the Act:\nNone\nIndicate by check mark if the registrant is a well-known seasoned issuer, as defined in Rule 405 of the Securities Act.    Yes \u2610 No \u2612\nIndicate by check mark if the registrant is not required to file reports pursuant to Section 13 or Section 15(d) of the Act.    Yes \u2610 No \u2612\nIndicate by check mark whether the registrant (1) has filed all reports required to be filed by Section 13 or 15(d) of the Securities Exchange Act of 1934 during the preceding 12 months (or for such shorter\nperiod that the registrant was required to file such reports), and (2) has been subject to such filing requirements for the past 90 days. Yes \u2612 No \u2610\nIndicate by check mark whether the registrant has submitted electronically every Interactive Data File required to be submitted pursuant to Rule 405 of Regulation S-T (\u00a7232.405 of this chapter) during the\npreceding 12 months (or for such shorter period that the registrant was required to submit such files).    Yes \u2612 No \u2610\nIndicate by check mark whether the registrant is a large accelerated filer, an accelerated filer, a non-accelerated filer, a smaller reporting company, or an emerging growth company. See the definitions of\n\u201clarge accelerated filer,\" \u201caccelerated filer,\" \u201csmaller reporting company,\" and \"emerging growth company\" in Rule 12b-2 of the Exchange Act.\nLarge accelerated filer\n\u2612\nAccelerated filer\n\u2610\nNon-accelerated filer\n\u2610\nSmaller reporting company\n\u2610\nEmerging growth company\n\u2610\nIf an emerging growth company, indicate by check mark if the registrant has elected not to use the extended transition period for complying with any new or revised financial accounting standards provided\npursuant to Section 13(a) of the Exchange Act.    \u2610\nIndicate by check mark whether the registrant has filed a report on and attestation to its management\u2019s assessment of the effectiveness of its internal control over financial reporting under Section 404(b) of\nthe Sarbanes-Oxley Act (15 U.S.C. 7262(b)) by the registered public accounting firm that prepared or issued its audit report. \u2612\n\nQuestion:\nwhat company is this\n", "additional_kwargs": {}}}]

llm:
{"lc": 1, "type": "constructor", "id": ["langchain", "chat_models", "openai", "ChatOpenAI"], "kwargs": {"model_name": "gpt-3.5-turbo", "temperature": 0.0, "streaming": true, "openai_api_key": {"lc": 1, "type": "secret", "id": ["OPENAI_API_KEY"]}}, "name": "ChatOpenAI", "graph": {"nodes": [{"id": 0, "type": "schema", "data": {"title": "ChatOpenAIInput", "anyOf": [{"type": "string"}, {"$ref": "#/definitions/StringPromptValue"}, {"$ref": "#/definitions/ChatPromptValueConcrete"}, {"type": "array", "items": {"anyOf": [{"$ref": "#/definitions/AIMessage"}, {"$ref": "#/definitions/HumanMessage"}, {"$ref": "#/definitions/ChatMessage"}, {"$ref": "#/definitions/SystemMessage"}, {"$ref": "#/definitions/FunctionMessage"}, {"$ref": "#/definitions/ToolMessage"}]}}], "definitions": {"StringPromptValue": {"title": "StringPromptValue", "description": "String prompt value.", "type": "object", "properties": {"text": {"title": "Text", "type": "string"}, "type": {"title": "Type", "default": "StringPromptValue", "enum": ["StringPromptValue"], "type": "string"}}, "required": ["text"]}, "AIMessage": {"title": "AIMessage", "description": "Message from an AI.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "ai", "enum": ["ai"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "HumanMessage": {"title": "HumanMessage", "description": "Message from a human.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "human", "enum": ["human"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "ChatMessage": {"title": "ChatMessage", "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "chat", "enum": ["chat"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"]}, "SystemMessage": {"title": "SystemMessage", "description": "Message for priming AI behavior, usually passed in as the first of a sequence\nof input messages.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "system", "enum": ["system"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content"]}, "FunctionMessage": {"title": "FunctionMessage", "description": "Message for passing the result of executing a function back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "function", "enum": ["function"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content", "name"]}, "ToolMessage": {"title": "ToolMessage", "description": "Message for passing the result of executing a tool back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "tool", "enum": ["tool"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}}, "required": ["content", "tool_call_id"]}, "ChatPromptValueConcrete": {"title": "ChatPromptValueConcrete", "description": "Chat prompt value which explicitly lists out the message types it accepts.\nFor use in external schemas.", "type": "object", "properties": {"messages": {"title": "Messages", "type": "array", "items": {"anyOf": [{"$ref": "#/definitions/AIMessage"}, {"$ref": "#/definitions/HumanMessage"}, {"$ref": "#/definitions/ChatMessage"}, {"$ref": "#/definitions/SystemMessage"}, {"$ref": "#/definitions/FunctionMessage"}, {"$ref": "#/definitions/ToolMessage"}]}}, "type": {"title": "Type", "default": "ChatPromptValueConcrete", "enum": ["ChatPromptValueConcrete"], "type": "string"}}, "required": ["messages"]}}}}, {"id": 1, "type": "runnable", "data": {"id": ["langchain", "chat_models", "openai", "ChatOpenAI"], "name": "ChatOpenAI"}}, {"id": 2, "type": "schema", "data": {"title": "ChatOpenAIOutput", "anyOf": [{"$ref": "#/definitions/AIMessage"}, {"$ref": "#/definitions/HumanMessage"}, {"$ref": "#/definitions/ChatMessage"}, {"$ref": "#/definitions/SystemMessage"}, {"$ref": "#/definitions/FunctionMessage"}, {"$ref": "#/definitions/ToolMessage"}], "definitions": {"AIMessage": {"title": "AIMessage", "description": "Message from an AI.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "ai", "enum": ["ai"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "HumanMessage": {"title": "HumanMessage", "description": "Message from a human.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "human", "enum": ["human"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "ChatMessage": {"title": "ChatMessage", "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "chat", "enum": ["chat"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"]}, "SystemMessage": {"title": "SystemMessage", "description": "Message for priming AI behavior, usually passed in as the first of a sequence\nof input messages.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "system", "enum": ["system"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content"]}, "FunctionMessage": {"title": "FunctionMessage", "description": "Message for passing the result of executing a function back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "function", "enum": ["function"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content", "name"]}, "ToolMessage": {"title": "ToolMessage", "description": "Message for passing the result of executing a tool back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "tool", "enum": ["tool"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}}, "required": ["content", "tool_call_id"]}}}}], "edges": [{"source": 0, "target": 1}, {"source": 1, "target": 2}]}}---[('stop', None)]

response:
{"lc": 1, "type": "constructor", "id": ["langchain", "schema", "output", "ChatGeneration"], "kwargs": {"message": {"lc": 1, "type": "constructor", "id": ["langchain", "schema", "messages", "AIMessage"], "kwargs": {"content": "NVIDIA Corporation", "additional_kwargs": {}, "response_metadata": {"finish_reason": "stop"}, "name": null, "id": null, "example": false}}, "generation_info": {"finish_reason": "stop"}}}


prompt:
[{"lc": 1, "type": "constructor", "id": ["langchain", "schema", "messages", "HumanMessage"], "kwargs": {"content": "Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question, in its original language.\n\nChat History:\n\nHuman: what company is this\nAssistant: NVIDIA Corporation\nFollow Up Input: who is the E-VP\nStandalone question:"}}]

llm:
{"lc": 1, "type": "constructor", "id": ["langchain", "chat_models", "openai", "ChatOpenAI"], "kwargs": {"model_name": "gpt-3.5-turbo", "temperature": 0.0, "streaming": true, "openai_api_key": {"lc": 1, "type": "secret", "id": ["OPENAI_API_KEY"]}}, "name": "ChatOpenAI", "graph": {"nodes": [{"id": 0, "type": "schema", "data": {"title": "ChatOpenAIInput", "anyOf": [{"type": "string"}, {"$ref": "#/definitions/StringPromptValue"}, {"$ref": "#/definitions/ChatPromptValueConcrete"}, {"type": "array", "items": {"anyOf": [{"$ref": "#/definitions/AIMessage"}, {"$ref": "#/definitions/HumanMessage"}, {"$ref": "#/definitions/ChatMessage"}, {"$ref": "#/definitions/SystemMessage"}, {"$ref": "#/definitions/FunctionMessage"}, {"$ref": "#/definitions/ToolMessage"}]}}], "definitions": {"StringPromptValue": {"title": "StringPromptValue", "description": "String prompt value.", "type": "object", "properties": {"text": {"title": "Text", "type": "string"}, "type": {"title": "Type", "default": "StringPromptValue", "enum": ["StringPromptValue"], "type": "string"}}, "required": ["text"]}, "AIMessage": {"title": "AIMessage", "description": "Message from an AI.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "ai", "enum": ["ai"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "HumanMessage": {"title": "HumanMessage", "description": "Message from a human.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "human", "enum": ["human"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "ChatMessage": {"title": "ChatMessage", "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "chat", "enum": ["chat"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"]}, "SystemMessage": {"title": "SystemMessage", "description": "Message for priming AI behavior, usually passed in as the first of a sequence\nof input messages.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "system", "enum": ["system"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content"]}, "FunctionMessage": {"title": "FunctionMessage", "description": "Message for passing the result of executing a function back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "function", "enum": ["function"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content", "name"]}, "ToolMessage": {"title": "ToolMessage", "description": "Message for passing the result of executing a tool back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "tool", "enum": ["tool"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}}, "required": ["content", "tool_call_id"]}, "ChatPromptValueConcrete": {"title": "ChatPromptValueConcrete", "description": "Chat prompt value which explicitly lists out the message types it accepts.\nFor use in external schemas.", "type": "object", "properties": {"messages": {"title": "Messages", "type": "array", "items": {"anyOf": [{"$ref": "#/definitions/AIMessage"}, {"$ref": "#/definitions/HumanMessage"}, {"$ref": "#/definitions/ChatMessage"}, {"$ref": "#/definitions/SystemMessage"}, {"$ref": "#/definitions/FunctionMessage"}, {"$ref": "#/definitions/ToolMessage"}]}}, "type": {"title": "Type", "default": "ChatPromptValueConcrete", "enum": ["ChatPromptValueConcrete"], "type": "string"}}, "required": ["messages"]}}}}, {"id": 1, "type": "runnable", "data": {"id": ["langchain", "chat_models", "openai", "ChatOpenAI"], "name": "ChatOpenAI"}}, 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[{"lc": 1, "type": "constructor", "id": ["langchain", "schema", "messages", "HumanMessage"], "kwargs": {"content": "Answer the question based only on the following context. If you cannot answer the question with the context, please respond with 'I don't know':\n\nContext:\nTable of Contents\nOur support is enhanced during times of crisis, such as war or economic volatility, to take care of our existing team of world-class talent and their families.\nDiversity, Inclusion, and Belonging\nWe believe that diverse teams fuel innovation, and we are committed to creating an inclusive culture that supports all employees.\nWhen recruiting for new talent or developing our current employees, we strive to build a diverse talent pipeline that includes those underrepresented in the\ntechnology field, including women, Black/African American, and Hispanic/Latino candidates.\nTo this end, we have been:\n\u2022\nPartnering with institutions and professional organizations serving historically underrepresented communities;\n\u2022\nEmbedding dedicated recruiting teams to business areas to shepherd underrepresented candidates through the interview process and find internal\nopportunities;\n\u2022\nSupporting the development of women employees through programs aimed at building a pipeline of future leaders;\n\u2022\nProviding peer support and executive sponsors for our internal community resource groups;\n\u2022\nProviding training and education to managers and peers on fostering supportive environments and recruiting for diversity;\n\u2022\nTrack equity and parity in retention, promotions, pay, and employee engagement scores; and\n\u2022\nMeasuring year over year progress and providing leadership visibility on diversity efforts.\nAs of the end of fiscal year 2024, our global workforce was 79% male, 20% female, and 1% not declared, with 6% of our workforce in the United States\ncomposed of Black or African American and Hispanic or Latino employees.\nFlexible Working Environment\nWe support a flexible work environment, understanding that many employees want the ability to work from home under certain conditions. This flexibility\nsupports diverse hiring, retention, and employee engagement, which we believe makes NVIDIA a great place to work.\nDuring fiscal year 2025, we will continue to have a flexible work environment and maintain our company wide 2-days off a quarter for employees to rest and\nrecharge.\nInformation About Our Executive Officers\nThe following sets forth certain information regarding our executive officers, their ages, and positions as of February 16, 2024:\nName\nAge\nPosition\nJen-Hsun Huang\n60\nPresident and Chief Executive Officer\nColette M. Kress\n56\nExecutive Vice President and Chief Financial Officer\nAjay K. Puri\n69\nExecutive Vice President, Worldwide Field Operations\nDebora Shoquist\n69\nExecutive Vice President, Operations\nTimothy S. Teter\n57\nExecutive Vice President and General Counsel\nJen-Hsun Huang co-founded NVIDIA in 1993 and has served as our President, Chief Executive Officer, and a member of the Board of Directors since our\ninception. From 1985 to 1993, Mr. Huang was employed at LSI Logic Corporation, a computer chip manufacturer, where he held a variety of positions including\nas Director of Coreware, the business unit responsible for LSI's SOC. From 1983 to 1985, Mr. Huang was a microprocessor designer for AMD, a semiconductor\ncompany. Mr. Huang holds a B.S.E.E. degree from Oregon State University and an M.S.E.E. degree from Stanford University.\nColette M. Kress joined NVIDIA in 2013 as Executive Vice President and Chief Financial Officer. Prior to NVIDIA, Ms. Kress most recently served as Senior\nVice President and Chief Financial Officer of the Business Technology and Operations Finance organization at Cisco Systems, Inc., a networking equipment\ncompany, since 2010. At Cisco, Ms. Kress was responsible for financial strategy, planning, reporting and business development for all business segments,\nengineering and operations. From 1997 to 2010 Ms. Kress held a variety of positions at Microsoft, a software company, including, beginning in 2006, Chief\n\nTable of Contents\nstrategy, planning, reporting and business development for the division. Prior to joining Microsoft, Ms. Kress spent eight years at Texas Instruments Incorporated,\na semiconductor company, where she held a variety of finance positions. Ms. Kress holds a B.S. degree in Finance from University of Arizona and an M.B.A.\ndegree from Southern Methodist University.\nAjay K. Puri joined NVIDIA in 2005 as Senior Vice President, Worldwide Sales and became Executive Vice President, Worldwide Field Operations in 2009. Prior\nto NVIDIA, he held positions in sales, marketing, and general management over a 22-year career at Sun Microsystems, Inc., a computing systems company. Mr.\nPuri previously held marketing, management consulting, and product development positions at Hewlett-Packard, an information technology company, Booz Allen\nHamilton Inc., a management and technology consulting company, and Texas Instruments Incorporated. Mr. Puri holds a B.S.E.E. degree from the University of\nMinnesota, an M.S.E.E. degree from the California Institute of Technology and an M.B.A. degree from Harvard Business School.\nDebora Shoquist joined NVIDIA in 2007 as Senior Vice President of Operations and in 2009 became Executive Vice President of Operations. Prior to NVIDIA,\nMs. Shoquist served from 2004 to 2007 as Executive Vice President of Operations at JDS Uniphase Corp., a provider of communications test and measurement\nsolutions and optical products for the telecommunications industry. She served from 2002 to 2004 as Senior Vice President and General Manager of the Electro-\nOptics business at Coherent, Inc., a manufacturer of commercial and scientific laser equipment. Previously, she worked at Quantum Corp., a data protection\ncompany, as President of the Personal Computer Hard Disk Drive Division, and at Hewlett-Packard. Ms. Shoquist holds a B.S. degree in Electrical Engineering\nfrom Kansas State University and a B.S. degree in Biology from Santa Clara University.\nTimothy S. Teter joined NVIDIA in 2017 as Senior Vice President, General Counsel and Secretary and became Executive Vice President, General Counsel and\nSecretary in February 2018. Prior to NVIDIA, Mr. Teter spent more than two decades at the law firm of Cooley LLP, where he focused on litigating patent and\ntechnology related matters. Prior to attending law school, he worked as an engineer at Lockheed Missiles and Space Company, an aerospace company. Mr.\nTeter holds a B.S. degree in Mechanical Engineering from the University of California at Davis and a J.D. degree from Stanford Law School.\nAvailable Information\nOur annual reports on Form 10-K, quarterly reports on Form 10-Q, current reports on Form 8-K and, if applicable, amendments to those reports filed or furnished\npursuant to Section 13(a) or 15(d) of the Securities Exchange Act of 1934, as amended, or the Exchange Act, are available free of charge on or through our\nwebsite, http://www.nvidia.com, as soon as reasonably practicable after we electronically file such material with, or furnish it to, the Securities and Exchange\nCommission, or the SEC. The SEC\u2019s website, http://www.sec.gov, contains reports, proxy and information statements, and other information regarding issuers\nthat file electronically with the SEC. Our web site and the information on it or connected to it are not a part of this Annual Report on Form 10-K.\nItem 1A. Risk Factors\nThe following risk factors should be considered in addition to the other information in this Annual Report on Form 10-K. The following risks could harm our\nbusiness, financial condition, results of operations or reputation, which could cause our stock price to decline. Additional risks, trends and uncertainties not\n\nTable of Contents\nPart I\nItem 1. Business\nOur Company\nNVIDIA pioneered accelerated computing to help solve the most challenging computational problems. NVIDIA is now a full-stack computing infrastructure\ncompany with data-center-scale offerings that are reshaping industry.\nOur full-stack includes the foundational CUDA programming model that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries,\nsoftware development kits, or SDKs, and Application Programming Interfaces, or APIs. This deep and broad software stack accelerates the performance and\neases the deployment of NVIDIA accelerated computing for computationally intensive workloads such as artificial intelligence, or AI, model training and\ninference, data analytics, scientific computing, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to\nautomotive and manufacturing.\nOur data-center-scale offerings are comprised of compute and networking solutions that can scale to tens of thousands of GPU-accelerated servers\ninterconnected to function as a single giant computer; this type of data center architecture and scale is needed for the development and deployment of modern\nAI applications.\nThe GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence,\nenabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by thousands of computing cores, are essential for deep\nlearning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots and self-\ndriving cars that can perceive and understand the world. GPU-powered AI solutions are being developed by thousands of enterprises to deliver services and\nproducts that would have been immensely difficult or even impossible with traditional coding. Examples include generative AI, which can create new content\nsuch as text, code, images, audio, video, and molecule structures, and recommendation systems, which can recommend highly relevant content such as\nproducts, services, media or ads using deep neural networks trained on vast datasets that capture the user preferences.\nNVIDIA has a platform strategy, bringing together hardware, systems, software, algorithms, libraries, and services to create unique value for the markets we\nserve. While the computing requirements of these end markets are diverse, we address them with a unified underlying architecture leveraging our GPUs and\nnetworking and software stacks. The programmable nature of our architecture allows us to support several multi-billion-dollar end markets with the same\nunderlying technology by using a variety of software stacks developed either internally or by third-party developers and partners. The large and growing number\nof developers and installed base across our platforms strengthens our ecosystem and increases the value of our platform to our customers.\nInnovation is at our core. We have invested over $45.3 billion in research and development since our inception, yielding inventions that are essential to modern\ncomputing. Our invention of the GPU in 1999 sparked the growth of the PC gaming market and redefined computer graphics. With our introduction of the CUDA\nprogramming model in 2006, we opened the parallel processing capabilities of our GPU to a broad range of compute-intensive applications, paving the way for\nthe emergence of modern AI. In 2012, the AlexNet neural network, trained on NVIDIA GPUs, won the ImageNet computer image recognition competition,\nmarking the \u201cBig Bang\u201d moment of AI. We introduced our first Tensor Core GPU in 2017, built from the ground-up for the new era of AI, and our first autonomous\ndriving system-on-chips, or SoC, in 2018. Our acquisition of Mellanox in 2020 expanded our innovation canvas to include networking and led to the introduction\nof a new processor class \u2013 the data processing unit, or DPU. Over the past 5 years, we have built full software stacks that run on top of our GPUs and CUDA to\n\nSustainability and Governance\nNVIDIA invents computing technologies that improve lives and address global challenges. Our goal is to integrate sound environmental, social, and corporate\ngovernance principles and practices into every aspect of the Company. The Nominating and Corporate Governance Committee of our Board of Directors is\nresponsible for reviewing and discussing with management our practices related to sustainability and corporate governance. We assess our programs annually\nin consideration of stakeholder expectations, market trends, and business risks and opportunities. These issues are important for our continued business\nsuccess and reflect the topics of highest concern to NVIDIA and our stakeholders.\nThe following section and the Human Capital Management Section below provide an overview of our principles and practices. More information can be found on\nour website and in our annual Sustainability Report. Information contained on our website or in our annual Sustainability Report is not incorporated by reference\ninto this or any other report we file with the Securities and Exchange Commission, or the SEC. Refer to \u201cItem 1A. Risk Factors\u201d for a discussion of risks and\nuncertainties we face related to sustainability.\nClimate Change\nIn the area of environmental sustainability, we address our climate impacts across our product lifecycle and assess risks, including current and emerging\nregulations and market impacts.\nIn May 2023, we published metrics related to our environmental impact for fiscal year 2023. Fiscal year 2024 metrics are expected to be published in the first\nhalf of fiscal year 2025. There has been no material impact to our capital expenditures, results of operations or competitive position associated with global\nenvironmental sustainability regulations, compliance, or costs from sourcing renewable energy. By the end of fiscal year 2025, our goal is to purchase\n10\n\nQuestion:\nWho is the Executive Vice President of NVIDIA Corporation?\n", "additional_kwargs": {}}}]

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"HumanMessage": {"title": "HumanMessage", "description": "Message from a human.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "human", "enum": ["human"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "example": {"title": "Example", "default": false, "type": "boolean"}}, "required": ["content"]}, "ChatMessage": {"title": "ChatMessage", "description": "Message that can be assigned an arbitrary speaker (i.e. role).", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "chat", "enum": ["chat"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "role": {"title": "Role", "type": "string"}}, "required": ["content", "role"]}, "SystemMessage": {"title": "SystemMessage", "description": "Message for priming AI behavior, usually passed in as the first of a sequence\nof input messages.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "system", "enum": ["system"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content"]}, "FunctionMessage": {"title": "FunctionMessage", "description": "Message for passing the result of executing a function back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "function", "enum": ["function"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}}, "required": ["content", "name"]}, "ToolMessage": {"title": "ToolMessage", "description": "Message for passing the result of executing a tool back to a model.", "type": "object", "properties": {"content": {"title": "Content", "anyOf": [{"type": "string"}, {"type": "array", "items": {"anyOf": [{"type": "string"}, {"type": "object"}]}}]}, "additional_kwargs": {"title": "Additional Kwargs", "type": "object"}, "response_metadata": {"title": "Response Metadata", "type": "object"}, "type": {"title": "Type", "default": "tool", "enum": ["tool"], "type": "string"}, "name": {"title": "Name", "type": "string"}, "id": {"title": "Id", "type": "string"}, "tool_call_id": {"title": "Tool Call Id", "type": "string"}}, "required": ["content", "tool_call_id"]}}}}], "edges": [{"source": 0, "target": 1}, {"source": 1, "target": 2}]}}---[('stop', None)]

response:
{"lc": 1, "type": "constructor", "id": ["langchain", "schema", "output", "ChatGeneration"], "kwargs": {"message": {"lc": 1, "type": "constructor", "id": ["langchain", "schema", "messages", "AIMessage"], "kwargs": {"content": "Debora Shoquist", "additional_kwargs": {}, "response_metadata": {"finish_reason": "stop"}, "name": null, "id": null, "example": false}}, "generation_info": {"finish_reason": "stop"}}}


