LangGraph and OpenGPTs: Building Agent-Forward Applications with LangChain

GPT-4 Summary: Dive into the groundbreaking world of LangChain v0.1, LangGraph, and OpenGPTs in an event that's essential viewing for anyone interested in the cutting-edge of large language models (LLMs). Discover how LangGraph introduces cycles into applications for enhanced agentic Reasoning-Action frameworks, facilitating a loop of reasoning and action critical for building sophisticated agents. Learn about the power of OpenGPTs, running on the innovative MessageGraph for streamlined chat completions, and explore the creation of Chatbots, RAGBots, and Assistants with increasing complexity. Whether you're a learner eager to craft your own OpenGPTs, an AI Engineer seeking an introduction to LangGraph, or a practitioner passionate about the open-source forefront of LLMs, this event promises to equip you with the knowledge to build, ship, and share advanced AI agents. Don't miss our live code demo for a hands-on look at assembling a complex agentic Assistant!

Event page: https://lu.ma/langraphgpt

Have a question for a speaker? Drop them here:
https://app.sli.do/event/kf9oC7MgvBb8eUnXfWSJJm

Speakers:
Dr. Greg, Co-Founder & CEO
https://www.linkedin.com/in/gregloughane

The Wiz, Co-Founder & CTO
https://www.linkedin.com/in/csalexiuk/

Join our community to start building, shipping, and sharing with us today!
https://discord.gg/RzhvYvAwzA

Apply for our new AI Engineering Bootcamp on Maven today!
https://bit.ly/AIEbootcamp

How'd we do? Share your feedback and suggestions for future events.
https://forms.gle/BHzb2tJL9ZLVP5Va6

Comments

Post a Comment

Popular posts from this blog

Video From YouTube

Here's a YouTube video: <p><iframe width="560" height="315" src="https://www.youtube.com/embed/quHU0Ar0NQY11g6s" title="" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowFullScreen><br>Powered by <a href="https://youtubeembedcode.com/">embed youtube wordpress wordpress</a> and <a href="https://udenrofus.com/">online casino uden rofus</a></iframe></p> Do you see it?
Read more

GPT Researcher: Deploy POWERFUL Autonomous AI Agents

Welcome to the world of GPT Researcher, developed by Tavily! If you're searching for an advanced autonomous agent designed to revolutionize online research, then you've come to the right place. In this video, we will unveil the incredible capabilities and features of GPT Researcher, your ultimate partner in generating comprehensive, detailed, and unbiased research reports. Prepare to unlock a new level of efficiency and productivity in your research endeavors! In this video, we delve into the remarkable functionalities of GPT Researcher. We'll explore how this cutting-edge AI tool addresses two critical challenges in AI research: speed and determinism. By employing a parallelized agent work approach, GPT Researcher ensures exceptional performance, stability, and lightning-fast research results. Say goodbye to time-consuming operations and hello to optimized productivity! [Links Used]: ☕ Buy Me Coffee or Donate to Support the Channel: https://ko-fi.com/worldofai - It would m...
Read more

Building AI Ready Codebase Indexing With CocoIndex

Image
Building AI-Ready Codebase Indexing with CocoIndex and Tree-sitter In today's AI-driven development landscape, the ability to efficiently index and search through codebases has become increasingly crucial. Whether you're building code search tools, documentation generators, or AI-powered development assistants, having a robust codebase indexing system is essential. In this tutorial, we'll explore how to build a complete codebase indexing solution using CocoIndex and Tree-sitter in just about 50 lines of Python code.   What is CocoIndex? CocoIndex is a powerful indexing framework that leverages Tree-sitter's parsing capabilities to intelligently chunk codebases based on actual syntax structure rather than arbitrary line breaks. This approach ensures that your code chunks are semantically meaningful, leading to better search results and more accurate AI responses.   Key Features of CocoIndex: - **Syntax-aware chunking** using Tree-sitter - **Incremental proces...
Read more