SF Unstructured Data Meetup July 16 2024

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=jzdWdxeo2_Q

🎥 Once a month, we'll meet, socialize, and hear speakers present topics on unstructured data and generative AI. This event was sponsored by Zilliz. • Timeline: • 03:55 - Speaker Alexandre Bonnet, Garbage In, Garbage Out: Why poor data curation is killing your AI models (and how to fix it) • 30:32 - Speakers Joe Maionchi and Hendrik Krack, It's your unstructured data: How to get your GenAI app to production (and speed up your delivery) • 56:43 - Speaker Frank Liu, Multimodal Embeddings • ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ • 🎥 Playlist • Unstructured Data Meetup • 🖥️ Website: https://www.meetup.com/unstructured-d... • X Twitter - / milvusio • 🔗 Linkedin: / zilliz • 😺 GitHub: https://github.com/milvus-io/milvus • 🦾 Invitation to join discord: / discord • ~~~~~~~~~~~~~~ MEETUP VIDEO CONTENTS ~~~~~~~~~~~~~~ • 1. Host: Christy Bergman, Developer Advocate at Zilliz • LinkedIn: / christybergman • 2. Speaker: Alexandre Bonnet, Lead ML Solutions Engineer, Encord • Title: Garbage In, Garbage Out: Why poor data curation is killing your AI models (and how to fix it) • Abstract: Enterprises have traditionally prioritized data quantity, assuming more is better for AI performance. However, a new reality is setting in: high-quality data, not just volume, is the key. This shift exposes a critical gap – many organizations struggle to understand their existing data and lack effective curation strategies and tools. This talk dives into these data challenges and explores the methods of automating data curation. • Slides: https://www.slideshare.net/slideshow/... • 3. Speakers: Joe Maionchi, VP R D, and Hendrik Krack, Developer Advocate, Aparavi • Title: It's your unstructured data: How to get your GenAI app to production (and speed up your delivery) • Abstract: So you've successfully built a GenAI app POC for your company -- now comes the hard part: bringing it to production. Aparavi addresses the challenges of AI projects while addressing data privacy and PII. Our Service for RAG helps AI developers and data scientists to scale their app to 1000s to millions of users using corporate unstructured data. Aparavi’s AI Data Loader cleans, prepares and then loads only the relevant unstructured data for each AI project/app, enabling you to operationalize the creation of GenAI apps easily and accurately while giving you the time to focus on what you really want to do - building a great AI application with useful and relevant context. All within your environment and never having to share private corporate data with anyone - not even Aparavi. • Slides: https://www.slideshare.net/slideshow/... • 4. Frank Liu, AI/ML Engineer, Zilliz • Title: Multimodal Embeddings • Abstract: Frank Liu will walk through the history of embeddings and how we got to the cool embedding models used today. He'll end with a demo on how multimodal RAG is used. • Slides: https://www.slideshare.net/slideshow/... • Demo notebook: https://colab.research.google.com/dri...

#############################

New on site