Building a Domain Specific GenAI Chatbot with Serverless
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Navigating the complexities of Generative AI (GenAI) is made simpler with serverless technologies and API-driven approaches to Large Language Models (LLMs). This session will showcase how leveraging embeds with Retriever-Augmented Generation (RAG) and AWS Step Functions can streamline GenAI application development. Additionally, we’ll demonstrate how Amazon Bedrock simplifies interacting with LLMs. By the end, you’ll understand how these tools offer a straightforward path to creating effective and targeted GenAI applications.
Transcript
Navigating the complexities of Generative AI (GenAI) is made simpler with serverless technologies and API-driven approaches to Large Language Models (LLMs). This session will showcase how leveraging embeds with Retriever-Augmented Generation (RAG) and AWS Step Functions can streamline GenAI application development.
Additionally, we’ll demonstrate how Amazon Bedrock simplifies interacting with LLMs. By the end, you’ll understand how these tools offer a straightforward path to creating effective and targeted GenAI applications.
About the speakers
Principal Developer Advocate at AWS