What exactly does reinforcement learning mean in this context?
@hwchase17
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LangGraph Enables Human-in-the-Loop Time Travel Features
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Have you tried out langgrapg? You can do it today https://
langchain-ai.github.io/langgraph/how-
tos/human_in_the_loop/time-travel/
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LangGraph enables time travel human in the loop workflows
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This type of time travel/human in the loop is exactly what we want to enable with Langgraph
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LangChain Tool Marketplace: Extending Open Source Capabilities
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We have a bunch of tools in langchain open source. What would a “tool marketplace” add on top?
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Could Agents Function as Tools in AI Systems?
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What would you want in here? Couldn’t agents be tools?
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LinkedIn for AI Agents: What Use Cases Matter Most?
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"LinkedIn for AI agents" what agents would you want to see?
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Application-Specific AI: Choosing the Right Type for Your App
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needs to be application specific. what type of app are you building?
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LangSmith Redesigned: Observability, Testing, and Prompt Engineering
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We've redone the LangSmith homepage to focus on the three core areas we see emerging:
— Harrison Chase (@hwchase17) 20 novembre 2024
🔎Observability
🧑⚖️Testing and evals
📰Prompt Engineering
As a reminder LangSmith works seamlessly with or WITHOUT LangChain
If observability/evals/prompts are a challenge – please reach out! https://t.co/OwC2yxWxfQWe've redone the LangSmith homepage to focus on the three core areas we see emerging: Observability
Testing and evals
Prompt Engineering As a reminder LangSmith works seamlessly with or WITHOUT LangChain If observability/evals/prompts are a challenge – please reach out! -
LangGraph Studio enables agent debugging and rapid code iteration
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my favorite flow with langgraph studio is: 1/ run agent
2/ inspect output, see where it messes up
3/ change code
4/ rerun from that point LangGraph Studio makes this easier. We just made it possible to pip install and launch studio from your own env -
Pip installable AI tool available for distribution
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This is pip installable so usable with whatever