Fine-Tuning LLMs on AWS
Discover the ultimate guide to fine-tuning open LLMs on Amazon Web Services (AWS) in 2024 with "Fine-Tune & Evaluate LLMs in 2024 with Amazon SageMaker." This comprehensive resource showcases the latest research techniques, including Flash Attention 2, Q-LoRA, OpenAI ChatML, and Packing, all seamlessly integrated with Hugging Face TRL. Tailored for small GPU Instances (g5.2xlarge), this guide covers the full end-to-end lifecycle of fine-tuning CodeLlama for Text-To-SQL applications. From setting up the development environment to deploying and evaluating LLMs on Amazon SageMaker, every step is meticulously detailed for maximum clarity and effectiveness. Embark on a journey of skill enhancement as you learn to: 🧑🏻💻 Set up the development environment 🧮 Create and prepare the dataset 🏋️♀️ Fine-tune LLM using Hugging Face TRL on Amazon SageMaker 🥇 Deploy & Evaluate LLM on Amazon SageMaker Unlock the full potential of your LLMs with this essential guide and stay tuned for upcoming Advanced Guides, which will delve into multi-GPU/multi-Node full fine-tuning and alignment using DPO & KTO. Keep your skills sharp and your LLMs optimized for peak performance. Access the guide now!