Play-with-LLMs
Explore effective methods for training and evaluating large language models through practical examples involving RAG, Agent, and Chain applications. Understand the use of Mistral-8x7b and Llama3-8b models with techniques such as CoT and ReAct Agents, transformers, and adaptations for specific languages like Chinese. The article offers comprehensive insights into pretraining, fine-tuning, and RLHF processes, supported by practical case studies. Ideal for those interested in model quantization and deployment on platforms such as Huggingface.
