How to Run and Deploy GenAI Models with Modal's Serverless Platform? Ft. Charles Frye (Modal)

Опубликовано: 20 Февраль 2025
на канале: ProjectPro - Data Science Projects

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GPU-accelerated computing is a game changer that has helped create an ecosystem that allows researchers and developers to innovate faster and more efficiently. In this episode of the AI Monetization Podcast, our co-founder and host, Binny Mathews, interviews Charles Frye, an AI engineer at Modal, to discuss the evolving landscape of AI infrastructure and development. He provides a comprehensive overview of how Modal provides serverless computing for GPU-intensive tasks, catering to startups as well as enterprises. The discussion also includes how to select foundation models and evaluate their outputs, emphasizing the importance of data and evaluation metrics. They also explore the role of Synthetic data and benchmarking in AI model development. The discussion provides insights into the evolving landscape of AI education for different audiences (data scientists, developers, and business users), the future of AI, Changes in coding practices with the advent of AI-assisted programming, and much more. Tune into this episode to learn more about the coexistence of proprietary and open-source models, Modal's innovative serverless computing infrastructure, and much more!

For more details on this episode, visit our dedicated podcast page - https://bit.ly/4eW06T4

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TIMESTAMP

00:00 Introduction of Charles Fyre
01:18 Modal's Services and Offerings
14:38 Choosing the Right Tech Stack
18:21 Role of Synthetic Data and Benchmarking
25:04 Applications of Open Source Models in Context
30:04 Future of AI
40:08 AI’s Impact on Coding Practices
44:00 Evolving AI Education for Data Scientists, Devs, and Biz