This workshop focuses on techniques for customizing Large Language Models (LLMs) using Amazon Bedrock. Participants will explore four key areas: (1) Knowledge Bases and Retrieval Augmented Generation (RAG), a method to enhance LLMs with external information; (2) LLM Customization through Fine-Tuning and Continued Pre-Training, allowing researchers to tailor models for specific domains; (3) Image and Video Generation using Amazon Nova, pushing the boundaries of visual AI; and (4) Agents, creating autonomous AI systems for complex tasks. Leveraging Amazon Bedrock, a fully managed service that provides API access to state-of-the-art foundation models, attendees will gain hands-on experience in these advanced topics.
This workshop is designed for researchers who have a basic understanding of LLMs and are eager to dive deeper into customization techniques.

To participate in the hands-on lab during the session, you will need to provide your own computer with a web browser and a reliable internet connection.

Presented by Gabriel Brackman