Description:
Learn how to fine-tune Llama 3 on a custom dataset for a RAG Q&A use case using a single GPU in this comprehensive 33-minute tutorial. Explore the benefits of fine-tuning, understand the process overview, and dive into practical steps including dataset preparation, model loading, custom dataset creation, and LoRA setup. Follow along with Google Colab setup, establish a baseline, train the model, and evaluate its performance against the base model. Gain insights into pushing the fine-tuned model to the HuggingFace hub and discover how even smaller models can outperform larger ones when properly fine-tuned for specific tasks.
Fine-Tuning Llama 3 on a Custom Dataset for RAG Q&A - Training LLM on a Single GPU
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#Computer Science
#Machine Learning
#Fine-Tuning
#Deep Learning
#Stable Diffusion
#LoRA (Low-Rank Adaptation)
#High Performance Computing
#Parallel Computing
#GPU Computing
#Retrieval Augmented Generation (RAG)