Presenter: Vladyslav Melnyk
www.linkedin.com/in/vladyslav-melnyk-640b31134/
About the event
Learn about production-ready RAG (Retrieval-Augmented Generation) on AWS. Implementing RAG in production poses challenges like data relevance, query efficiency, and security. This session is designed for developers, data scientists, and AI professionals, offering insights and techniques for building production-ready RAG solutions. Attendees will learn how to improve their LLM applications, ensuring accuracy, relevance, and security.
Deep Dive into Production-Ready RAG: Explore methodologies and frameworks like RAGAS, HyDE, LangFuse, Context Compression, and Garak, tailored to streamline and enhance RAG pipelines for production environments.
Addressing Common Issues: Gain practical solutions for enhancing document retrieval and ensuring secure outputs.
Collaborative Debugging and Analysis: Learn how platforms like LangFuse can optimize collaboration, debugging, and iteration on LLM applications, driving efficiency and innovation.
Security Insights: Discover how tools like Garak help simulate attacks and probe for vulnerabilities, ensuring robust and trustworthy RAG applications.
Learn how to overcome common challenges when deploying RAG in production environments.
This event is ideal for anyone involved in LLM application development, deployment, or optimization, including data scientists, AI researchers, and developers. Join us to enhance your RAG-based applications and drive success in AWS production environments.
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