Vincent Granville’s Post

#llm #rag #finetuning

Achieving near real-time analytics for your AI/GenAI/RAG/LLM Projects https://lnkd.in/gy4xgKyx This session will explore how you can combine the NoSQL flexibility of DynamoDB with the in-memory speed of SingleStore to create a powerful, scalable analytics pipeline. Learn how to capture, process, and analyze your DynamoDB data to drive actionable insights and improve decision-making. You’ll learn: - How to integrate Amazon DynamoDB with SingleStore for real-time analytics. - Best practices for setting up Change Data Capture (CDC) streams using DynamoDB Streams and AWS Lambda. - How to use Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka (MSK) to enable flexible data processing. - Techniques for optimizing JSON and NoSQL data for real-time performance. - A live demonstration of setting up and deploying these architectures for your data needs. This hands-on workshop is for developers and AI professionals, featuring state-of-the-art technology, case studies, code-share, and live demos. Recording and GitHub material will be available to registrants who cannot attend the free 60-min session. Register at https://lnkd.in/gy4xgKyx

Build and Evaluate High Performance Taxonomy-Enriched LLMs From Scratch

#DynamoDB #Kafka #AWSlambda

New Book: Statistical Optimization for GenAI and Machine Learning

Book: Stochastic Processes and Simulations - A Machine Learning Perspective

Generated Data vs Monte-Carlo Simulations: What are the Differences?