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Tools for LLM

This generally refers to a stack of technologies or components centered around Large Language Models (LLMs). This “stack” can include a wide range of technologies and methodologies aimed at leveraging the capabilities of LLMs (e.g., vector databases, embedding models, APIs, plugins, orchestration libraries like LangChain, guardrail tools, etc.).

Contents [I will write more about these concepts in coming days]​

  • Prompt Engineering - Tips for crafting effective prompts
  • Knowledge Bases - Build knowledge bases backed by vector databases to store embeddings
  • Retrival Augmented Generation - Implementing RAG
  • Agents - Generative AI agents
  • Security and Governance - Secure your LLM applications
  • Operational - Tooling Helpful samples to help operationalize your LLM application
  • Multimodal - Working with multimodal data using different foundation model