We're going to start rolling out production ready versions of some of these prompt optimization methods – if interested in early access, fill out form here: https://
docs.google.com/forms/d/e/1FAI
pQLSdK1pZihqohabtGRQ99LZ2Rdwo5dnpnzJrBFRdojVSFq7k8eg/viewform?usp=dialog
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@hwchase17
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Production-ready prompt optimization methods rollout begins
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Claude-Sonnet Outperforms o1 for Meta-Prompting and Optimization
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I think a lot of people are sleeping on using claude-sonnet to do meta-prompting/prompt optimization we found its better than o1 (and cheaper/faster) it still struggles for complex tasks (curious to see how o3 would do) but it works quite well for simpler one
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LangChain Community Building Through In-Person Events
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Great to see the LangChain community organizing irl events LangChain was started by going to a bunch of meetups and hearing what people were building – lots of value in these types of events
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Model struggles with date handling and processing
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Model just isn’t good at date stuff rn, don’t think it has to do with ui
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Open Source AI Outperforms Major Labs’ Latest Releases
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Kinda crazy that open source that came out months ago is sota over what major labs are releasing today
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Browser Use: Open Source Alternative to OpenAI’s Operator
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Want an open source version of OpenAI's Operator? There's a great open source project called Browser Use that does similar things (and more) while being open source Allows you to plug in any model you want Love to see open source leading the way https://
github.com/browser-use/br
owser-use
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Open Source Email Assistant Ranks #9 on Product Hunt
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I launched an email assistant that accidentally became the #9 launch on product hunt a few days ago (just finding out now) Fully open source so check it out here: https://
github.com/langchain-ai/e
xecutive-ai-assistant
… Never check emails again! -
Write LLM Evaluations Like Software Tests
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write LLM evals like you write software tests (pytest/vitest/jest)
— Harrison Chase (@hwchase17) 22 janvier 2025
writing software tests is standard practice. writing evals for LLMs is equally important, but we don't see it as common place yet
we hope this helps bridge the gap! https://t.co/GZozKNbOw0write LLM evals like you write software tests (pytest/vitest/jest) writing software tests is standard practice. writing evals for LLMs is equally important, but we don't see it as common place yet we hope this helps bridge the gap!
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Build First, Optimize Learning Curve After Implementation
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Step 1 make it work, step 2 lower learning curve Doing step 2 without step 1 is silly
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LangGraph.js Studio: Cross-platform accessibility for AI agents
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Langgraph.js studio – no more Mac-only, no more docker, no more desktop app! https://t.co/T4MJOHdVPj
— Harrison Chase (@hwchase17) 21 janvier 2025Langgraph.js studio – no more Mac-only, no more docker, no more desktop app!