Update README.md

README.md

@@ -96,19 +96,17 @@ model-index:
       url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=dnhkng/RYS-XLarge
       name: Open LLM Leaderboard
 ---
-# ExllamaV2 Quantized version of RYS-XLarge by dnhkng
-Original repo: https://huggingface.co/dnhkng/RYS-XLarge
-___________________________________
-### Original description:
 
 This is a new kind of model optimization.
 This model is based on MaziyarPanahi/calme-2.1-qwen2-72b, which was tuned from Qwen2-72B.
 
-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!
+A paper on the technique is currently being written.  Special thanks to my wife, for putting up with me coding in the basement for too many evenings and weekends for months!
+
+This research was supported with hardware from the [appliedAI Institute](https://www.appliedai-institute.de/en/), whose goal is to generate and communicate high-quality knowledge about trustworthy AI.
 
 ## Quickstart
 
-Here provides a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
+Here is a code snippet with `apply_chat_template` to show you how to load the tokenizer and model and how to generate contents.
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
@@ -156,120 +154,21 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
 |MuSR (0-shot)      |23.72|
 |MMLU-PRO (5-shot)  |49.20|
 
+
 ___________________________________
-# *ADVERTISING BREAK*
+## *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 in a nutshell. 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.
+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)
+#### Reach out via [LinkedIn - Dr David Noel Ng](https://www.linkedin.com/in/dnhkng)