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Tag: AutoGen
Building Generative AI Agents: Using LangChain, LangGraph, and AutoGen
Price: $54.99
(as of Dec 17,2024 22:57:15 UTC – Details)
ASIN : B0DJHSCHVS
Publisher : Apress; First Edition (April 3, 2025)
Language : English
ISBN-13 : 979-8868811333
Item Weight : 1.11 pounds
In recent years, there has been a rapid advancement in the field of artificial intelligence, particularly in the area of generative AI agents. These agents have the ability to create new content, such as text, images, and even music, that is indistinguishable from human-generated content.One of the key tools that have enabled this advancement is LangChain, a powerful language modeling framework that allows developers to train large-scale language models on massive datasets. LangChain is able to generate coherent and contextually relevant text, making it ideal for building generative AI agents that can hold conversations with users or create content on the fly.
Another important tool in building generative AI agents is LangGraph, a graph-based representation of language that allows for more complex and nuanced understanding of text. By using LangGraph, developers can create more sophisticated AI agents that can understand and generate text with higher accuracy and fluency.
Finally, AutoGen is a tool that automates the process of training and fine-tuning generative AI models, making it easier for developers to create and deploy AI agents quickly and efficiently. With AutoGen, developers can focus on building the best possible AI agents without getting bogged down in the technical details of training and tuning their models.
By combining these three tools – LangChain, LangGraph, and AutoGen – developers can create powerful and sophisticated generative AI agents that are capable of generating high-quality content in a variety of domains. As the field of AI continues to advance, these tools will play an increasingly important role in building AI agents that can truly mimic human creativity and intelligence.
#Building #Generative #Agents #LangChain #LangGraph #AutoGen
Mastering LangGraph: A Hands-On Guide to Building Complex, Multi-Agent Large Language Model (LLM) Applications with Ease (Mastering Multi-Agent Frameworks: … Dive into CrewAI, LangGraph, and AutoGen)
Price: $7.90
(as of Dec 17,2024 21:12:30 UTC – Details)
ASIN : B0DKVB6RMY
Publication date : October 23, 2024
Language : English
File size : 1361 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 162 pages
Are you ready to take your language modeling skills to the next level? Look no further than LangGraph – a powerful tool for building complex, multi-agent Large Language Model (LLM) applications with ease. In this hands-on guide, we will walk you through the process of mastering LangGraph and diving into the world of multi-agent frameworks.First, we will introduce you to CrewAI, LangGraph, and AutoGen – three essential tools for building and managing LLM applications. CrewAI is a versatile platform for creating and deploying AI models, while LangGraph is a cutting-edge framework for building complex, multi-agent applications. AutoGen is a powerful tool for automatically generating code and data for your applications.
Next, we will guide you through the process of setting up your development environment and creating your first LangGraph project. We will show you how to define agents, tasks, and interactions within your application, and how to use CrewAI to deploy your models to production.
Finally, we will dive into some advanced topics, such as optimizing your models for performance and scalability, integrating external data sources, and leveraging pre-trained models to speed up development. By the end of this guide, you will have the skills and knowledge you need to build sophisticated LLM applications with ease.
So what are you waiting for? Master LangGraph today and unlock the full potential of multi-agent frameworks. Happy coding!
#Mastering #LangGraph #HandsOn #Guide #Building #Complex #MultiAgent #Large #Language #Model #LLM #Applications #Ease #Mastering #MultiAgent #Frameworks #Dive #CrewAI #LangGraph #AutoGen
