SF AI, Machine Learning and Computer Vision Meetup
Aug 29, 2024 | 5:30 to 8:00 PM PT
Register for the event at GitHub's offices in San Francisco. RSVPs are limited!
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Date and Time
Aug 29 from 5:30 PM to 8:00 PM Pacific
Location
The Meetup will take place at GitHub’s offices in San Francisco. Note that pre-registration is mandatory.
88 Colin P Kelly Jr St, San Francisco, CA 94107
Talks and Speakers
Agentic RAG in 2024
Laurie Voss
LlamaIndex
It’s 2024 so you’ve probably already heard about RAG and how amazing it is. But we think RAG is not enough: to get the best possible results, you have to go for an agentic approach. We break down why, and show you exactly how to do it in LlamaIndex.
About the Speaker
Laurie Voss is VP of Developer Relations at LlamaIndex, the framework for connecting your data to LLMs. He has been a developer for 27 years and was co-founder of npm, Inc.. He believes passionately in making the web bigger, better, and more accessible for everyone.
Accelerating Multimodal RAG Pipelines with NVIDIA and Open-Source Integrations
Jay Rodge
NVIDIA
Learn how to supercharge your multimodal Retrieval-Augmented Generation (RAG) pipelines by combining NVIDIA’s GPU-accelerated tools with powerful open-source technologies. This talk will demonstrate the seamless integration of NVIDIA’s optimized inference tools like TensorRT-LLM with popular community tools to create high-performance applications. We’ll explore how this synergy dramatically enhances processing speed and accuracy across text, image, and other modalities. Join us to learn how you can leverage this integrated approach to build scalable, efficient, and state-of-the-art multimodal AI applications.
About the Speaker
Jay Rodge is a developer advocate for large language models (LLMs), where he demonstrates how developers can leverage GPU acceleration in their LLM workflows, using widely used tools and frameworks.
5 Handy Ways to Use Embeddings, the Swiss Army Knife of AI
Harpreet Sahota
Voxel51
Discover the incredible potential of vector search engines beyond RAG for large language models! Explore 5 handy embeddings applications: robust OCR document search, cross-modal retrieval, probing perceptual similarity, comparing model representations, concept interpolation, and a bonus—concept space traversal. Sharpen your data understanding and interaction with embeddings and open source FiftyOne.
About the Speaker
Harpreet Sahota is a hacker-in-residence and machine learning engineer with a passion for deep learning and generative AI. He’s got a deep interest in RAG, Agents, and Multimodal AI.
Find a Meetup Near You
Join the AI and ML enthusiasts who have already become members
The goal of the AI, Machine Learning, and Computer Vision Meetup network is to bring together a community of data scientists, machine learning engineers, and open source enthusiasts who want to share and expand their knowledge of AI and complementary technologies. If that’s you, we invite you to join the Meetup closest to your timezone.
