Lessons From The Trenches On Building Usable Coding Agents Graham Neubig

Lessons from the Trenches on Building Usable Coding Agents - Graham Neubig

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Prof. Graham Neubig: Lessons from the Trenches in Building Agents for Software Development

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AI & Coding: Lessons from the Trenches on Building Usable Coding Agents

Graham Neubig

CMU LLM Inference (11): Agents and Multi-Agent Communication

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Graham Neubig (CMU) - Can we make building with open-source AI as simple as prompting ChatGPT?

Talk from the Open-Source Generative AI Workshop at Cornell Tech. Speaker: https://phontron.com/ Slides ...

CMU Advanced NLP Fall 2024 (15): Tool Use and LLM Agent Basics

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CMU Advanced NLP Fall 2024 (16): Agents for Software Development and Web Browsing

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Graham Neubig (CMU): LLM Agents that Learn from Experience.

Graham Neubig

You’re Not Behind (Yet): Learn AI Agents in 13 Minutes

Subscribe to my newsletter → https://www.sandeepswadia.com/newsletter Most people still use AI like a better search...

CMU LLM Inference (7): Chain of Thought and Intermediate Steps

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Don't Build Agents, Build Skills Instead – Barry Zhang & Mahesh Murag, Anthropic

In the past year, we've seen rapid advancement of model intelligence and convergence on

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How We Build Effective Agents: Barry Zhang, Anthropic

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Building a self-corrective coding assistant from scratch

LangGraph makes it easy to engineer flows with various cycles and decision points. Recent work by CodiumAI has shown...

The Future of Agentic Data Science with Thomas Wiecki (PyMC Labs, Decision.AI)

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LangChain Explained in 10 Minutes (Components Breakdown + Build Your First AI Chatbot)

Try LangChain Hands-on Labs for Free: https://kode.wiki/462mo31

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