🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑‍💻 Video Tutorials.

Llama3-Tutorial（XTuner、LMDeploy、OpenCompass）

Hands-on projects with Llama 3, Ollama, Streamlit

Quick tutorial showing how to fine-tune Llama3.1 with nothing but free tools and text data. All code included in ipynb. For a step by step walkthrough take a look at the tutorial below on medium.

This is a YouTube tutorial on how to create a chatbot using llama3.1 and langchain.

Llama3-70B finetuning tutorial for GDSC

tutorial for fine-tuning Llama3.2 version with LoRA

Llama3.2 based AI agent to help you create tutorial and practice quizzes from youtube lectures.

针对llama3的部署，测试，微调等实验，希望能给大家带来灵感和帮助。

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Following tutorials for Llama3 running locally

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LLM Fine-Tuning Tutorial using Llama3.2-1B

Oracle 23ai Vector Search Tutorial with TypeScript and LLaMA3

Use LLM llama3 to build an topic chatbot tutorial

Tutorial to launch an LLM with RAG using Llama3 and Neo4j

Simple little tutorial for running Ollama, Streamlit and creating some agentic responses. Uses llama3

Tutorial on Implementation of Advanced RAG system with Groq+Llama3, Qdrant Vector store, and Cohere Re-ranker

TicTacToe game made with help of llama3 local model , the tutorial was a bit dated, thats why I needed the help

In this repo I tried to demonstrate and learn basics of quantization and finetuning. Llama3-3B-Intruct model was finetuned to think like Deepseek thinking model. Thanks to codebasics youtube channel for making the tutorial.

LawChain adalah chatbot pintar yang dirancang khusus untuk menjawab pertanyaan tentang Undang-Undang Dasar 1945 (UUD 1945). Sistem ini menggunakan teknologi Retrieval Augmented Generation (RAG) dengan model LLaMA3 yang berjalan secara lokal melalui Ollama, mengikuti panduan resmi LangChain RAG Tutorial.