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5 results

Leon van Zyl
LangChain Tutorial (Python) #6: Self-Reasoning Agents with Tools

openai #langchain Agents are one of the most important features of Langchain and extremely fun to use. We can give our agent ...

13:21
LangChain Tutorial (Python) #6: Self-Reasoning Agents with Tools

11,821 views

1 year ago

Kenny Liao
LangGraph + MCP Changes Everything | The Key to Scalable AI Agents

Want to learn how to build scalable AI agents with LangGraph and the Model Context Protocol (MCP)? In this step-by-step tutorial, ...

34:52
LangGraph + MCP Changes Everything | The Key to Scalable AI Agents

12,012 views

8 months ago

Austin AI MUG - AI Middleware Users Group
LangChain Middleware 1.0 Alpha – Human-in-the-Loop AI, Observability & Deep Agents

Description In this AIMUG Thunderstorm Talk, Colin McNamara explores the brand-new LangChain Middleware 1.0 Alpha — one ...

11:56
LangChain Middleware 1.0 Alpha – Human-in-the-Loop AI, Observability & Deep Agents

260 views

2 months ago

Leon van Zyl
LangChain Tutorial (JS) #6: Self-Reasoning Agents with Tools

openai #langchain #langchainjs Agents are one of the most important features of Langchain and extremely fun to use. We can ...

17:09
LangChain Tutorial (JS) #6: Self-Reasoning Agents with Tools

11,063 views

1 year ago

Samuel Carton
EMNLP 2020: Evaluating and Characterizing Human Rationales

Paper link: https://arxiv.org/abs/2010.04736 TLDR: We analyze the properties of human rationales as explanations for text ...

11:46
EMNLP 2020: Evaluating and Characterizing Human Rationales

91 views

5 years ago