INTRODUCTION
In the era of rapidly developing artificial intelligence (AI), building Generative AI applications requires not only powerful AI models but also the ability to respond accurately, quickly and appropriately to each context.
Retrieval-Augmented Generation (RAG) is an advanced technique that combines the creative power of AI to generate data with the ability to retrieve real-time information from trusted data sources. Powered by Amazon Bedrock, you can deploy RAG seamlessly to build scalable, intelligent, and responsive applications without managing complex infrastructure
True IDC is pleased to present to you the Webinar Using RAG in Amazon Bedrock to enhance Responsiveness in Gen AI Applications
- Date: 19/12/2024
- Time: 10:00 A.M – 11:30 A.M
- Location: Online (Link will be sent after registration)
Why you should join
Participants not only have the opportunity to receive up to $1,500 in Credit and physical gifts such as headphones and power banks, but also help businesses:
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Increase accuracy
Combine data from real-time sources to reduce information errors
Improve performance
Respond faster with flexible data querying capabilities
Cost optimization
Use Gen AI models without large investments in complex AI infrastructure
Speaker
Kien Nguyen
Solution Architect
Bach Ngo
Cloud Engineer
Agenda
10:00 – 10:05
Welcome
10:05 – 11:15
- What is RAG and How Does it Work?
- Why Do We Need RAG
- Customize the Platform Model for Your Use Case
- Use Cases for RAG
- Overview and Demo Knowledge Base for Amazon Bedrock
11:15 – 11:30
QnA and Minigame
REGISTER NOW
Tham khảo thêm về ưu đãi nhận 1.500$ miễn phí tại ĐÂY
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