Best Practices for Optimizing LLMs (Prompt Engineering, RAG and Fine-tuning) Best Practices for Optimizing LLMs (Prompt Engineering, RAG and Fine-tuning) The Optimization Strategies Typical Optimization Pipeline Comparison of Optimisation Approaches OpenAI RAG Use Case LizAbout 5 minLLMLLMPrompt EngineeringRAGFine-tuning
RAG Evaluation Metrics RAG Evaluation Metrics How to Evaluate RAG Generation Evaluation Retrieval Evaluation LizAbout 7 minLLMRAG
Challenges in the Application and Implementation of RAG Challenges in the Application and Implementation of RAG LizAbout 5 minLLMRAGChallenge
Challenges in the Commercialization of Large Language Models Challenges in the Commercialization of Large Language Models Current Solutions for Rapid Commercial Deployment: RAG Challenges in the Commercialization of LLM Generation and Retrieval Use Case: Implementation of an Intelligent Customer Service System LizAbout 2 minLLMLLMRAGChallenge
RAG Workflow RAG Workflow Raw Data Processing Flow RAG Process in Q&A Scenarios RAG Optimization Points RAG Optimization LizAbout 7 minLLMRAGWorkflow