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LangGraph Studio v2: Local Web App with Prompt Editing and Debugging
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LangGraph Studio v2 We're launching a new and improved version of LangGraph Studio. Includes:
– No more desktop app! Run it locally
– Edit prompts and other configuration directly in studio
– Playground integration
– Pull down production traces and run them locally to debug -

Andrew Ng on Evals: Start Simple, Augment Human Judgment
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Incredible fireside chat at Interrupt right now with the legendary @AndrewYNg ! – "I think of evals as something I throw together in 5 minutes", not a big task to start. Augment human judgement, improve over time
– People telling others to avoid learning coding will go -

Andrew Ng on Evals: Quick Implementation and Human Judgment Augmentation
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Incredible fireside chat at Interrupt right now with the legendary @AndrewYNg ! – "I think of evals as something I throw together in 5 minutes", not a big task to start. Augment human judgement, improve over time
– People telling others to avoid learning coding will go -

Uber Standardizes AI Agent Development with LangGraph
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Now at Interrupt : Matas and Sourabh presenting how @Uber builds AI agents using LangGraph! – LangGraph was proliferating in their org bottoms up, they formalized and standardized usage across the org
– Code agents running directly in IDE keep code to Uber's standards -

Uber’s AI Agents with LangGraph: From Grassroots to Organization-Wide Standards
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Now at Interrupt : Matas and Sourabh presenting how @Uber builds AI agents using LangGraph! – LangGraph was proliferating in their org bottoms up, they formalized and standardized usage across the org
– Code agents running directly in IDE keep code to Uber's standards -

Building Robust Data Processing Agents with DocETL Framework
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Want to build robust data processing agents ? @sh_reya presents some of the latest ideas from her lab @UCBerkeley! – Many failure modes around data understanding, evals must be task specific
– Intent gap between that the user asks and what they want. DocETL uses human -

Building Robust Data Processing Agents with DocETL Framework
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Want to build robust data processing agents ? @sh_reya presents some of the latest ideas from her lab @UCBerkeley
! – Many failure modes around data understanding, evals must be task specific
– Intent gap between that the user asks and what they want. DocETL uses human -

OpenEvals: Simulating and Evaluating Multi-Turn LLM Conversations
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How to simulate and evaluate multi-turn conversations Most LLM applications today are chat-based. How would you evaluate the conversations? We’re excited to launch OpenEvals — a set of utilities to simulate full conversations and evaluate your LLM application’s