Implementing RAGs using Amazon BedRock | Amazon BedRock | RAGs | AWS

This webinar is on "Implementing Retrieval-Augmented Generation (RAG) using Amazon Bedrock." Dive deep into the world of RAG, a technique to enhance the accuracy and factual basis of LLMs, all powered by Amazon's advanced Bedrock platform. This session is perfect for data scientists, developers, and cloud technology enthusiasts looking to elevate their skills.
📢 Speaker:
Suman Debnath, Principal Developer Advocate at AWS
Key Highlights:
- Introduction to RAG: Understand the importance of RAG in boosting the performance of cloud-hosted LLMs.
- Amazon Bedrock Tutorial: A step-by-step guide on leveraging Amazon Bedrock for improved foundational models.
- Interactive Q&A: Engage with our cloud computing experts and get your questions answered.
👉 Why Watch?
- Enhance your understanding of RAG and its applications.
- Gain practical insights into using Amazon Bedrock for data processing.
- Learn from a top AWS advocate and cloud expert.
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00:05 Introduction
05:30 ML is at an Inflection Point
08:00 What is Generative AI?
09:50 Foundation Model vs ML Model
19:45 How can we customize model?
27:15 Vectors
28:55 What is a vector embedding?
29:15 Vector Store
35:50 RAG Model Demo
39:10 Practical RAG Implementation with Amazon Bedrock
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