23-25 April 2024
Virtual & In-Person*
Toggle menu
Nava
Levy
Developer Advocate for Data Science and MLOps
"Democratizing Deep Learning: Unlocking Innovations with Embeddings, Vector Databases and Generative AI"
"Democratizing Deep Learning: Unlocking Innovations with Embeddings, Vector Databases and Generative AI"
Don’t miss out and join visionaries, innovators, and thought leaders from all over the world at the Women in Tech Global Conference.
Vote by Sharing
Unite 100 000 Women in Tech to Drive Change with Purpose and Impact.
Do you want to see this session? Help increase the sharing count and the session visibility. Sessions with +10 votes will be available to career ticket holders.
Please note that it might take some time until your share & vote is reflected.
Session: Democratizing Deep Learning: Unlocking Innovations with Embeddings, Vector Databases and Generative AI
In this talk, we'll explore the game-changing and transformative potential of Generative AI and Vector Databases when combined with Embeddings from Foundation Models and how it's paving the way for democratizing Deep Learning.Deep learning is changing the world — from ChatGPT, DALL-E, and DeepFace to Amazon Alexa, Waymo Self Driving Cars and Google Translate. Despite this, most companies have not yet deployed AI/ML and those who have, still rely on classic or traditional machine learning. In this talk we'll see how deep learning is becoming accessible to companies of all sizes and expertise levels, through the use of Vector Embeddings from the giant pre-trained neural networks of Foundation Models (e.g. Large Language Models or LLMs, Large Vision Models). We’ll demonstrate how even with just a few lines of code, these embeddings can be combined with Vector Databases for similarity search across any modality, enabling both transformative and real-world use cases, unlocking many new possibilities. We'll also discuss the emerging ecosystem and the essential tools for the successful deployment of these applications in production and the exciting opportunities arising from democratizing deep learning, including the game-changing synergies between Generative AI and Vector Databases. Join this session to discover how your organization can leverage these cutting-edge tools to unleash the power of deep learning and drive transformative innovation.
Key Takeaways
- Why deep learning is revolutionizing the world
- The limitations of deep learning that make it inaccessible to most companies and impractical for many real world applications
- How deep learning is in the process of being democratized thanks to the rising use and availability of vector embeddings from giant pre-trained neural networks (e.g. Large Language Models or LLMs, Large Vision Models).
- How by combining these embeddings with vector databases for similarity search you can infuse your applications with AI, and apply them to real world use cases, without needing tons of money, expertise, compute power or huge datasets
- Explore some of the exciting and game-changing synergies between generative AI, embeddings and vector databases for similarity search
Bio
Nava is a Developer Advocate for Data Science and MLOps. She started her career in tech with an R&D Unit in the IDF and later had the good fortune to work with and champion Cloud, Big Data, and AI/ML technologies just as the wave of each of these was starting. Nava is also a member of the AI/ML Advisory Board of DevNetworks, a Judge and Mentor on the MassChallenge accelerator, and the Founder of LerGO—a nonprofit EdTech venture. In her free time she enjoys cycling, 4-ball juggling, and reading fantasy and sci-fi books.