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LLM Evaluations
In the fast-evolving AI applications, language model evaluations — or “evals” — have become essential for businesses leveraging LLMs in their products.
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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
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
OpenAI’s new language models, o1 and o1-mini, mark a significant shift in AI development.
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AI and Future of Work
As AI and large language models (LLMs) become more integrated into business workflows, the roles of knowledge workers will shift.
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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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