Hi there 👋

• I'm Lei Shang. Thanks for visiting my GitHub space!
• 🔭 I'm currently working on Generative AI frameworks, exploring use cases and the underlying technology.
• 📫 Feel free to reach out for a chat if you come across something interesting:
  • LinkedIn
  • Medium
  • Email: lei.shang AT hotmail.com

Portfolio Contents

1. Generative AI
2. Data Science in Action
3. Programming Languages
4. Data Science Toolkit
5. MLOps
6. Cloud Computing
7. Clean Code
8. Research

Generative AI

Exploring the Trend, Technology, and Latest Advances

Topic	Code/Link
AI Agents	AutoGen, CrewAI
Finetuning LLMs	How to Fine-Tune LLMs in 2024 with Hugging Face
RAGs	Introducing RAGs: Your Personalized ChatGPT Experience Over Your Data
Prompt Engineering	🚧
Notes	Generative AI Notes
LLM Architectures and Applications	Emerging Architectures for LLM Applications
LangChain Core Concepts (Chains, Agents, Tools)	🚧

Data Science in Action

Real-World Applications and Case Studies

Topic	Code/Link
LLM empowered sentiment analysis	🚧
Scale document question answering using LLMs	🔗
Efficiently Applying LLMs to Transform Semi-Structured Data	News; Code and Paper
LLM empowered personalisation and recommendation systems	🚧
Question Answering Over Documents through RAG (Retrieval Augmented Generation)	🚧
Predicting the Financial Market with Large Language Models	🔗

Programming Languages

Topic	Code/Link
Scala	Scala

Data Science Toolkit

Topic	Code/Link
Pandas	Pandas examples
Docker	🚧

MLOps

Productionising machine learning models

Topic	Code/Link
FastAPI and Docker Compose	Quick Start with FastAPI and Docker
Vertex AI	🚧
AWS SageMaker	🚧 Deploy a serverless ML inference endpoint of large language models using FastAPI, AWS Lambda, and AWS CDK
AWS Lambda	🚧 (An example using FastAPI, Docker and AWS Lambda)
Kubeflow	🚧
MLflow and Kubernetes	ML deployment examples
Terraform	🚧

Cloud Computing

Topic	Code/Link
AWS	🚧
GCP	🚧
MS Azure	🚧

Clean Code

Topic	Code/Link
LeetCode	🚧
SOLID Principles in Python	🚧

Research

Papers & Books that I'm following

Topic	Code/Link
Efficient Finetuning of Quantized LLMs	QLoRA
ChatGPT	How Is ChatGPT’s Behavior Changing over Time?
NLP	Attention Is All You Need
Time Series Forecasting	Deep GPVAR: Upgrading DeepAR For Multi-Dimensional Forecasting
LLM	Aligning language models to follow instructions
LLM	Making fine-tuning cheap & accessible
LLM	Llama-2 7B Chat
LLM	Data Mining Research Group at Tsinghua University
Bayesian Modeling and Computation	Bayesian Modeling and Computation in Python
Statistics and Data Analysis	Statistical Thinking for the 21st Century
Reinforcement Learning	Reinforcement Learning: An Introduction
AWS Labs	https://github.com/awslabs