Experimenting with LLMs to Research, Reflect, and Plan
Read OriginalThe author details a personal project building various LLM-powered assistants using LangChain. Tools created include a URL summarizer, an ELI5 explainer, SQL query agents, a web search agent for recent data, and a 'board of advisors' that synthesizes advice from tech leaders. The article is a technical exploration of augmenting work with LLMs, discussing implementation challenges and potential.
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