15.05, Webinar PLGenAI on AWS
London, ExCeL View on map

Retrieval-augmented generation — what comes after Hello World?

During the AWS Summit London we took a closer look at GenAI-based applications — in particular, at how to improve the response quality of models coupled with retrieval-augmented generation.

Share

Agenda

  1. Brief introduction to generative AI
  2. Retrieval-augmented generation (RAG)
  3. The challenges of retrieval-augmented generation and useful tools/techniques
  4. Summary

Key topics

  • how generative artificial intelligence works;
  • what RAG is, how it works, where it’s used and why it’s useful;
  • what the most common challenges of retrieval-augmented generation are, along with potential solutions;
  • how methods such as reranking, small-to-big retrieval and query rephrasing can increase the response quality of your model;
  • how to use tools such as promptfoo and ragas to systematically evaluate results;
  • how to build more using GenAI than just an impressive demo.

Speakers

Tomasz Dudek

Tomasz Dudek AWS Machine Learning Hero

Head of Data & AI

AWS Machine Learning Hero, AWS Solutions Architect and certified specialist in GenAI, MLOps and Amazon SageMaker. Co-organizer of AWS User Group Wrocław and AWS Community Day Poland.

His journey began as a Java developer, but his passion for the cloud, data engineering, and machine learning has been his focus for years. He loves providing simple solutions to complex problems.

Kacper Włodarczyk

Kacper Włodarczyk

Cloud Data Engineer

Cloud Data Engineer in Chaos Gears’ Data & AI team. He specializes in machine-learning solutions on AWS — especially those related to GenAI.

Even though he considers himself an AI Engineer, he often fills multiple roles — from software engineering, through data science to cloud architecture. In his time off, he enjoys outdoor activities with his labrador.

Amazon Bedrock

Notes

AWS is trusted by…