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 Monetisation 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 selecting foundation models and evaluating 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/41lFm39Check out ProjectPro and elevate your skills in the rapidly evolving landscape of Data Science and Big Data. With over 250+ solved end-to-end projects, you'll enhance your proficiency and stay ahead of the curve, so dive into hands-on learning and enhance your proficiency today! - https://bit.ly/4gOzJis