Explore the functionality of Output Parsers in Spring AI through this 23-minute tutorial. Learn how to effectively structure responses from Large Language Models (LLMs) to obtain desired outputs. Dive into the practical application of Output Parsers, understanding their role in refining and formatting LLM responses. Gain insights into recent updates in Spring AI 1.0, with a reference to additional resources for the latest changes. Access a GitHub repository for hands-on practice and explore related topics such as Spring AI introduction. Connect with the instructor, Dan Vega, through various social media platforms for further engagement and stay updated with his newsletter and YouTube channel for more educational content on Spring AI and related technologies.
Using Spring AI's Output Parsers to Structure LLM Responses
Overview
Syllabus
Using Spring AI's Output Parsers to structure the response from LLMs
Taught by
Dan Vega
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