YoVDO

Building Scalable AI Agents with Ray

Offered By: Anyscale via YouTube

Tags

AI Agents Courses LangChain Courses Scalability Courses Distributed Computing Courses AutoGen Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the development of scalable AI agents in this Ray Summit 2024 presentation by Guyang Song and Qixiang Chen from Ant Group. Learn about Ragent, a novel framework addressing the need for scalability, distribution, and production-ready solutions in agent applications. Discover how Ray's distributed computing capabilities provide an ideal foundation for AI agent development. Gain insights into Ant Group's unified agent framework built on Ray, featuring distributed workflows and agents powered by Ray Core, agent deployment via Ray Serve, and integration with popular tools like Langchain, AutoGen, and MetaGPT. Understand the importance of scalability in multi-agent scenarios and how Ragent offers a robust solution for the evolving landscape of AI applications. Ideal for developers and organizations seeking to leverage AI agents at scale in their projects.

Syllabus

Building Scalable AI Agents with Ray | Ray Summit 2024


Taught by

Anyscale

Related Courses

Prompt Templates for GPT-3.5 and Other LLMs - LangChain
James Briggs via YouTube
Getting Started with GPT-3 vs. Open Source LLMs - LangChain
James Briggs via YouTube
Chatbot Memory for Chat-GPT, Davinci + Other LLMs - LangChain
James Briggs via YouTube
Chat in LangChain
James Briggs via YouTube
LangChain Data Loaders, Tokenizers, Chunking, and Datasets - Data Prep
James Briggs via YouTube