Sponsored by: AWS | Architecture Explained: generative AI based complex data processing
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Generative AI |
INDUSTRY | Enterprise Technology |
TECHNOLOGIES | GenAI/LLMs |
SKILL LEVEL | Advanced |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
With the emergence of generative AI, enterprises are building innovative applications for improved customer experience. Databricks has end-to-end offerings from ingestion to building large language models (LLM) applications. Amazon Web Services (AWS) provides highly resilient infrastructure and intelligent document processing (IDP) capabilities using Amazon Textract, Amazon Transcribe, Amazon Comprehend and many other services, and generative AI capabilities using Amazon Bedrock with industry leading 3P and 1P models as well as Open-source models such as Llama-3, Mixtral-7B models. Key takeaways include: * Interoperability between Databricks and AWS for generative AI applications * AWS AI services for Intelligent Document Processing * Databricks Auto Loader, Vector Store, Deployment AI Gateway, and configure to use Amazon Bedrock * Multiple patterns for real-time and batch processing * Demo
SESSION SPEAKERS
Venkatavaradhan Viswanathan
/Senior Partner Solutions Architect
Amazon Web Services Inc
Mayur Rajdev
/Head of Architecture, AI & Automation
The Baldwin Group