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Optimizing Schema Properties for LLM Inference

Optimizing Schema Properties for LLM Inference

When working with large language models (LLMs), one of the most overlooked factors impacting the quality of LLM inference is how schema properties—the names and descriptions of fields in your data—are defined.

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Chat Prompts Are Not Enough

Chat Prompts Are Not Enough

As we get into practical AI-assisted workflows, it’s clear that simply prompting an agent to fulfill your goal isn’t enough.

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AI / User Collaboration Paradigms

AI / User Collaboration Paradigms

OpenAI’s new language models, o1 and o1-mini, mark a significant shift in AI development.

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How to Improve RAG Results

How to Improve RAG Results

You are trying to build a smart Q&A system that can answer questions about specific documents or huge chunks of text.

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RAG: Build or Buy

RAG: Build or Buy

Sometimes I’m being asked whether it’s better to buy a commercial solution for RAG or build something using … (enter your preferred tech LlamaIndex, Langchain, etc.

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