We just wrapped up the August ‘24 AI, Machine Learning and Computer Vision Meetup, and if you missed it or want to revisit it, here’s a recap! In this blog post you’ll find the playback recordings, highlights from the presentations and Q&A, as well as the upcoming Meetup schedule so that you can join us at a future event.
First, Thanks for Voting for Your Favorite Charity!
In lieu of swag, we gave Meetup attendees the opportunity to help guide a $200 donation to charitable causes. The charity that received the highest number of votes this month was Heart to Heart International, an organization that ensures quality care is provided equitably in medically under-resourced communities and in disaster situations. We are sending this event’s charitable donation of $200 to Heart to Heart International on behalf of the Meetup members!
Missed the Meetup? No problem. Here are playbacks and talk abstracts from the event.
Agentic RAG in 2024
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.
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
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.
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.
Resource Links
- Link to code on GitHub
- Presentation slides
- NVIDIA and LlamaIndex Developer Contest
5 Handy Ways to Use Embeddings, the Swiss Army Knife of AI
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.
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.
Resource links
- GitHub: Notebook
Join the AI, Machine Learning and Computer Vision Meetup!
The goal of the Meetups is to bring together communities of data scientists, machine learning engineers, and open source enthusiasts who want to share and expand their knowledge of AI and complementary technologies.
Join one of the 12 Meetup locations closest to your timezone.
- Athens
- Austin
- Bangalore
- Boston
- Chicago
- London
- New York
- Peninsula
- San Francisco
- Seattle
- Silicon Valley
- Toronto
What’s Next?
Up next on Sept 12, 2024 at 10:00 AM PT / 1:00 PM ET , we have two great speakers lined up!
- Reducing Hallucinations in ChatGPT and Similar AI Systems- Abhimanyu Aryan, Open Source Developer at The Julia Language
- Update: Data-Centric AI Competition on Hugging Face Spaces, Harpreet Sahota, Hacker-in-residence and Machine Learning Engineer at Voxel51
- It’s in the Air Tonight. Sensor Data in RAG- Tim Spann, Principal Developer Advocate for Zilliz and Milvus
Register for the Zoom here. You can find a complete schedule of upcoming Meetups on the Voxel51 Events page.
Get Involved!
There are a lot of ways to get involved in the Computer Vision Meetups. Reach out if you identify with any of these:
- You’d like to speak at an upcoming Meetup
- You have a physical meeting space in one of the Meetup locations and would like to make it available for a Meetup
- You’d like to co-organize a Meetup
- You’d like to co-sponsor a Meetup
Reach out to Meetup co-organizer Jimmy Guerrero on Meetup.com or ping me over LinkedIn to discuss how to get you plugged in.
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These Meetups are sponsored by Voxel51, the company behind the open source FiftyOne computer vision toolset. FiftyOne enables data science teams to improve the performance of their computer vision models by helping them curate high quality datasets, evaluate models, find mistakes, visualize embeddings, and get to production faster. It’s easy to get started, in just a few minutes.
