AWS re:Invent 2023 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT407) Share: Download MP3 Similar Tracks AWS re:Invent 2023 - Dive deep into different AWS DMS migration options (DAT328) AWS Events AWS re:Invent 2024 - Best practices for querying vector data for gen AI apps in PostgreSQL (DAT423) AWS Events AWS re:Invent 2023 - Data patterns for generative AI applications (DAT338) AWS Events Quantum Computing: Where We Are and Where We’re Headed | NVIDIA GTC 2025 Fireside Chat NVIDIA Developer AWS re:Invent 2023 - Advanced data modeling with Amazon DynamoDB (DAT410) AWS Events What is a Vector Database? Powering Semantic Search & AI Applications IBM Technology Explaining the Trump Tariff Equation Stand-up Maths Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc. AWS re:Invent 2023 - Advanced event-driven patterns with Amazon EventBridge (COM301-R) AWS Events AWS re:Invent 2023 - Data modeling core concepts for Amazon DynamoDB (DAT329) AWS Events Preparing Data for LLMs and Gen-AI Workflows Pinecone RAG vs. CAG: Solving Knowledge Gaps in AI Models IBM Technology AWS re:Invent 2023 - Dive deep into Amazon DynamoDB (DAT330) AWS Events Why Trump's tariff chaos actually makes sense (big picture) Money & Macro Cybersecurity Architecture: Who Are You? Identity and Access Management IBM Technology 18 Months of Pgvector Learnings in 47 Minutes (Tutorial) Timescale Introduction to Generative AI Google Cloud Tech AWS re:Invent 2023 - Best practices for serverless developers (SVS401) AWS Events AWS re:Invent 2023 - Advanced serverless workflow patterns and best practices (API401) AWS Events Transformers (how LLMs work) explained visually | DL5 3Blue1Brown