LLMOps

What problem does it solve?

This Skill addresses the complexities of deploying, managing, and optimizing Large Language Models (LLMs) in production environments, including prompt engineering, retrieval-augmented generation (RAG), and model evaluation.

Core Features & Use Cases

• Prompt Management: Register, version, and A/B test prompts for optimal performance.
• RAG Pipelines: Ingest documents, process them into chunks, and retrieve relevant information for LLM context.
• LLM Evaluation: Frameworks for assessing model relevance, faithfulness, and other quality metrics.
• Cost Management: Tools for tracking token usage and estimating operational costs.
• Use Case: Deploy a customer support chatbot that leverages RAG to answer user queries based on your company's knowledge base, while continuously evaluating and improving prompt performance and cost-efficiency.

Quick Start

Use the LLMOps skill to ingest documents from the 'knowledge_base/' directory into the RAG pipeline.