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Taking AI to the playground: LinkedIn combines LLMs, LangChain and Jupyter Notebooks to improve prompt engineering
LinkedIn's collaborative prompt engineering playground helps bridge the gap between engineers and product managers.
LinkedIn has already used the approach to help improve its sales navigator product with AI features, specifically focusing on AccountIQ — a tool that reduces company research time from 2 hours to 5 minutes. Jupyter Notebooks for the interface layer; LangChain for prompt orchestration; Trino for data lake queries during testing; Container-based deployment for easy access; Custom UI elements for non-technical users. This improvement wasn’t just about faster processing — it represented a fundamental shift in how AI features could be developed and refined with direct input from domain experts.
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