We just wrapped up the July ‘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 and highlights from the presentations as well as the upcoming Meetup schedule so that you can join us at a future event.
Performance Optimisation for Multimodal LLMs
In this talk we’ll delve into Multi-Modal LLMs, exploring the fusion of language and vision in cutting-edge models. We’ll, highlight the challenges in handling diverse data heterogeneity, its architecture design, strategies for efficient training, and optimization techniques to enhance both performance and inference speed. Through case studies and future outlooks, we’ll illustrate the importance of these optimizations in advancing applications across various domains. You can download the slides here.
Speaker: Neha Sharma has a rich background in digital products and technology services, having delivered successful projects for industry giants like IBM and launching innovative products for tech startups. As a Product Manager at Ori, Neha specializes in developing cutting-edge AI solutions by actively engaging on various AI-based use cases centered around latest/popular LLMs, demonstrating her commitment to staying at the forefront of AI technology.
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.
Deep Dive: Responsible and Unbiased GenAI for Computer Vision
In the rapidly evolving landscape of artificial intelligence, the emergence of Generative AI (GenAI) marks a transformative shift in the field. But can too fast of an adoption lead to some costly mistakes? In this talk, we’ll delve into the pivotal role GenAI will play in the future of computer vision use cases. Through an exploration of image datasets and latest diffusion models, we will use FiftyOne – the open source data management tool for visual datasets – to demonstrate the leading ways GenAI is being adopted into computer vision workflows. We will also address concerns about how GenAI can potentially poison data, emphasizing the importance of vigilant data curation to ensure dependable and remarkable datasets.
Speaker: Daniel Gural is a seasoned Machine Learning Evangelist with a strong passion for empowering Data Scientists and ML Engineers to unlock the full potential of their data. Currently serving as a valuable member of Voxel51, he takes a leading role in efforts to bridge the gap between practitioners and the necessary tools, enabling them to achieve exceptional outcomes. Daniel’s extensive experience in teaching and developing within the ML field has fueled his commitment to democratizing high-quality AI workflows for a wider audience.
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 August 8th, 2024 at 10:00 AM PT and 1:00 PM ET, we have three great speakers lined up!
- GenAI for Video: Diffusion-Based Editing and Generation – Ozgur Kara, Georgia Institute of Technology / Adobe
- Evaluating RAG Models for LLMs: Key Metrics and Frameworks – Abi Aryan, founder of Abide AI
- Why You Should Evaluate Your End-to-End LLM applications with In-House Data – Mahesh Deshwal – Senior Data Scientist, Chegg, Inc
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.
