The original title is "Three foundational concepts for production LLM applications"

Short summary

A brief overview of three foundational concepts for production LLM applications: LLMs are stateless and require external memory management, RAG is a separate pipeline not built into the model, and LLMs should orchestrate rather than calculate because they predict tokens probabilistically. The post is introductory and lacks depth on evaluation and cost management.

• •LLMs are stateless — conversation history is re-sent with every request
• •RAG is a separate pipeline: chunk, embed, store, retrieve, then inject into context
• •LLMs are orchestrators not calculators — use external functions for arithmetic

Generated with AI, which can make mistakes.