Update README.md

README.md

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-license: mit
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+---
+license: mit
+---
+
+This is a new kind of model optimization.
+This model is based on Meta-Llama-3.1-8B.
+
+A paper is currently being written on the technique.  Special thanks to my wife, for putting up with me coding in the basement for too many evenings and weekends for months!
+
+## Quickstart
+
+```python
+import transformers
+import torch
+
+model_id = "meta-llama/Meta-Llama-3.1-8B"
+
+pipeline = transformers.pipeline(
+    "text-generation", model=model_id, model_kwargs={"torch_dtype": torch.bfloat16}, device_map="auto"
+)
+
+pipeline("Hey how are you doing today?")
+```
+
+
+___________________________________
+# *ADVERTISING BREAK*
+
+I’m on the hunt for new challenges and a chance to dive into some exciting research opportunities. Oh, and did I mention I just snagged a top spot on the Open LLM leaderboard? 🎉
+
+
+
+## CV - Dr David Noel Ng
+
+
+#### Profile
+Innovation enthusiast, AI-strategist, and interdisciplinary-tech nerd – that's me! With over a decade of experience in research and project management, my professional journey has been largely shaped by my passion for artificial intelligence and its potential to transform various industries. With a solid background in artificial intelligence and machine learning, coupled with a knack for innovation and problem-solving (and a healthy dose of curiosity), I'm excited to bring my skills to a new team.
+
+Originally from Australia, where I earned my degrees in Organic Chemistry and Biochemistry, I moved to Germany in 2004. My academic pursuit continued with a Ph.D. in Chemistry at the Max Planck Institute of Biochemistry. Today, I leverage my robust educational background and diverse industry experience to drive AI innovations in a wide range of applications. Hobbies? Lots: I've also built the world's most powerful espresso machine and am working to bring [GLaDOS to life](https://github.com/dnhkng/GlaDOS).
+
+
+___________________________________
+### PROFESSIONAL EXPERIENCE
+####  SENIOR GLOBAL INNOVATION STRATEGIST - ARTIFICIAL INTELLIGENCE
+#### Munich Re | Munich | 05/2023 - Now
+
+As a Senior Global Innovation Strategist at Munich Re, my passion is in steering AI/ML strategies, maximizing project impact, and advancing the use of cutting-edge technology.  I built the AI Accelerator, which drives the rapid and structured development of AI use-case Implementations.
+#### AI CONSULTANT - LEAD AI ENGINEER
+#### appliedAI UTUM | Munich | 04/2019 - 04/2023
+
+In my tenure at appliedAI, I held a leadership role where I spearheaded the successful development and execution of various AI/ML proof-of-concept (POC) and minimum viable product (MVP) projects. I utilized a hands-on approach to drive ideation, planning, and delivery of these solutions for our clients.
+
+ - AI-Controlled Imaging: Directed a PoC of an AI-Controlled Electron Microscope using Reinforcement Learning for a premier imaging company.
+ - Anomaly Detection: Oversaw development of security systems utilizing anomaly detection, integrating diverse technologies to boost client security at the Munich Security Conference..
+ - Project Optimization: Implemented AlphaZero-based Graph Optimization for project management in the Nuclear Energy sector.
+ - Food Safety: Delivered a PoC for industrial food safety equipment, significantly improving detection sensitivity.
+ - NLP Consulting: Consulted on automated document analysis and risk assessment for the European Central Bank, leveraging NLP technologies.
+ - Aerospace Anomaly Detection: Developed a PoC for Aerospace manufacturing, using generative diffusion models to create synthetic data for training anomaly detection models.
+ - Retail Automation: Applied Vision and Skeletal Tracking for supermarket automation, modernizing retail operations.
+ - Public Speaking and Training: Regularly presented talks and training sessions on topics such as KI-Transfer Plus for the Bayerischen Staatsministeriums für Digitales, and KI in Biotech for the BioEntrepreneurship Summit, spreading AI knowledge and fostering digital transformation in the Health/Pharma sector..
+
+
+#### PROJECT LEAD - INNOVATIVE TECHNOLOGIES
+#### Nanotemper Technologies GmbH | Munich | 5/2016 - 3/2019
+
+Project Lead in the Future Technologies Department, Scientist Bioanalytics and all-rounder in bioanalytics/data/optoelectronics. Contributions and successes: 
+ - Created and applied Deep Learning models for interpreting biophysical data for pharmaceutical stability in antibody development
+ - Designed, built, and programmed prototype optoelectronic apparatus for the rapid analysis of biosimilar pharmaceutical molecules
+ - Introduced FPGA technology for high-speed data collection and analysis, now used in the key products at Nanotemper
+
+#### RESEARCH SCIENTIST
+#### Max Planck Institute Of Neurobiology | Martinsried | 02/2016 - 04/2019
+
+Driven by an interest in Biotech, I found a role in research working on biosensors, particularly on optical probes of neural activity (Optogenetics). Contribution and success: 
+ - Designed, built and utilized a robotic screening platform for the high-throughput engineering of biosensors.
+ - Utilised image-processing and machine-learning techniques to collect and analyse biosensor data.
+ - Automated the development of large molecules by FACS-based directed protein evolution.
+ - Patented new CRISPR/Cas9 technology for high-throughput protein engineering.
+
+#### CONSULTANT FOR THE NETFLIX SERIES 'BIOHACKERS'
+#### Netflix | Munich | 01/2019 - 12/2019
+
+In this role, I advised on the scientific concepts, storylines and film set for this popular Netflix series. Contribution and success: 
+ - Helped design and build the Laboratory and ‘Biohacking’ labs
+ - Modified the scripts to keep scientific accuracy
+ - Location scouting and liaison with the LMU to organise research labs for filming
+
+#### Doctoral Candidate
+#### Max Planck Institute for Biochemistry
+
+My PhD thesis was all about Optical brain-computer interfaces, and synthesizing molecular sensors for optically imaging brain activity. I devised a new biomolecular targeting technique and developed compounds for high-speed optical analysis of neuron activity.
+ - Molecular Sensor Development: Designed, synthesized, and tested molecular sensors to optically image brain activity, advancing neuroimaging capabilities.
+ - Biomolecular Targeting Technique: Developed a novel technique for labelling live cells with organic dye, utilizing pro-drug techniques used in pharmaceutical development, enhancing the precision of cell tracking and analysis.
+ - Neuronal Activity Analysis: Designed a high-speed optical analysis setup for cultured neurons and developed specialized compounds for this purpose, improving our understanding of neuron activity.
+
+## SKILLS
+ - Strong interest in customer experience and Machine Learning transformations (e.g. expectation management, stakeholder alignment, team reorganization etc.)
+ - Ability to work autonomously in the completion of deliverables
+ - Ability to provide technical and analytic direction, guidance and roadmaps for ML projects
+ - Excellent communication and presentation skills: able to explain Analytics in non-technical terms to business users (C-level, investors, public presentations etc.)
+ - Deep technical expertise and strong problem-solving and data-analysis skills
+
+
+
+## AWARDS
+
+#### The United Nations COVID-19 Detect & Protect Challenge
+ - The United Nations Development Programme Centre for Technology, Innovation and Sustainable Development · Aug 2020
+
+#### AI at the Edge Challenge with NVIDIA - Artificial Intelligence of Things (AIoT)
+ - Issued by Nvidia · Mar 2020
+
+#### Create Intelligence at the Edge - Artificial Intelligence on FPGA
+ - Avnet and Xilinx · Dec 2018
+
+#### PATENTS
+ - WO2018020050A1 - Targeted in situ protein diversification by site-directed DNA cleavage and repair
+  
+
+## EDUCATION
+
+#### PhD in Organic Chemistry
+ - Max Planck Institute of Biochemistry
+
+#### Honours Degree - Biochemistry
+- Monash University Melbourne
+
+#### Bachelor of Science - Double Major -
+ - Chemistry / Molecular Biology
+ - University of Tasmania
+
+#### Nanodegree - Deep Reinforcement Learning 
+ - Udacity Online
+
+#### Nanodegree - Deep Learning
+ - Udacity Online
+
+
+___________________________________
+I'm based out of Munich, Germany, but I would be interested in working remotely for a team with more compute than my 2x 4090s 🚀
+
+#### Reach out via [LinkedIn](https://www.linkedin.com/in/dnhkng)