Description

We're entering a new era of AI where multiple foundation models compete, constantly evolving and vying for top leaderboard positions. This presentation explores: 

- Compelling differences in model performance (e.g open source vs. closed, model, vs model) 

- The importance of a healthy, competitive ecosystem in lowering costs and maximizing ROI 

- Why end users need to rely on a variety of customized models 

- How to optimize model selection based on price, speed, and quality 

We'll demonstrate how understanding and leveraging these distinctions can lead to more effective AI implementation across various projects.


Local ODSC chapter in NYC, USA

Instructor's Bio

Ivan Lee

CEO of Datasaur

Ivan graduated with a Computer Science B.S. from Stanford University, then dropped out of his master’s degree to found his first mobile gaming company Loki Studios. After raising institutional funding and building a profitable game, Loki was acquired by Yahoo. Lee spent the next 10 years building AI products at Yahoo and Apple and discovered there was a gap in serving the rapid evolution of Natural Language Processing (NLP) technologies. He built Datasaur to focus on democratizing access to NLP and LLMs. Datasaur raised $8m in venture funding from top-tier investors such as Initialized Capital, Greg Brockman (President, OpenAI) and Calvin French-Owen (CTO, Segment) and serves companies such as Google, Netflix, Qualtrics, Spotify and more.

Webinar

  • 1

    ON-DEMAND WEBINAR: "All AI Models Are Not Created Equal: and That’s a Good Thing"

    • Ai+ Training

    • Webinar recording

UPCOMING LIVE TRAINING

Register now to save 30%