llm-playground 🤖

A sandbox environment to experiment with large language models and various NLP tasks. 💻📚

Notes 📝

• Hardware: NVIDIA-SMI 550.107.02 Driver Version: 550.107.02 CUDA Version: 12.4 🖥️
• Python Python 3.8.20 🐍
• Install package with no dependencies pip install <package> --no-deps ⚙️
• Install cudatoolkit in conda: conda install -c conda-forge cudatoolkit-dev -y 🔧

TODO List ✅

• Update Hands-on Notebooks: Revise and enhance notebooks to incorporate the latest technologies and methodologies. ✍️
• LLM Collections: Create and maintain a curated collection of frequently used Large Language Models (LLMs) in a structured markdown format. 📑
• Fine-tuning Series: Develop a series of proof-of-concept (POC) repositories for fine-tuning LLMs, hosted on GitHub (e.g.,ft2, ft3, etc.). 🔥
• LLM Blog: Write and publish insightful blog posts on LinkedIn, sharing perspectives and research related to LLMs (e.g.,Artificial Intelligence For Programming, The Limitation of Context, etc.). 📝🌐
• POC Repositories: Create and share repositories showcasing new technologies and quick demonstrations for easy exploration (e.g.,lr4lg, debugger, etc.). 📂
• Build Continuously Growing Repositories: Develop and maintain long-term, evolving repositories for ongoing projects (e.g., Synthflow, Antflow, Antelligence, etc.). 🔄