Practical Insights for Generative AI: Building Solutions with AWS Bedrock

Explore the potential of Generative AI with a focus on practical implementation! We'll delve into building applications on AWS Bedrock and optimizing integrations with Retrieval-Augmented Generation (RAG) sources. The discussion will cover LLM and embedding model selection, as well as best practices for code and data preparation.

Join us to gain insights into navigating the complexities of generative AI and driving innovation through cutting-edge technology.

The presentation will cover the following Use Cases:

• Building AI Applications on AWS Bedrock: Discuss the architecture and design considerations for deploying AI solutions using AWS Bedrock.
• Integrating Data into RAG Workflows: Explore methods to seamlessly incorporate data into Retrieval-Augmented Generation sources to enhance application performance.
• Selecting the Right Models for Your Use Case: Share insights and experiences on choosing LLMs and embedding models based on specific use case requirements.
• Preparing Code and Data for Generative AI: Examine best practices for preparing datasets and code for successful generative AI workflows.
• Collaborative Approaches to Accelerating Innovation: Engage in an open discussion about end-to-end processes and collaboration strategies to speed up innovation in AI projects.

Agenda

• 6:00 - 6:30: Food and Announcements
• 6:30 - 7:30: Presentation by Erik Jensen and Derek Ross from TrueMark.io
• 7:30: Q&A