From Models to Products: Bridging Research and Practice in Generative AI at Google Labs with Ravin Kumar
Join Hugo Bowne-Anderson and Ravin Kumar for a live podcast recording as they discuss the rapidly changing world of generative AI, focusing on its practical applications and challenges. Ravin, a Senior Research Data Scientist at Google Labs, works across Google Labs and DeepMind. His contributions include research on adversarial testing of AI systems, developing tools like Notebook LM and the Gemini and Gemma models, and deploying generative AI with a strong emphasis on safety and security.
In this episode, Hugo and Ravin will discuss:
Generative AI at Google: How Notebook LM and other tools connect research to practical applications for both technical and non-technical users.
Democratizing AI: The shift from training models to using API-driven solutions, and the trade-offs between open-source and hosted tools.
Cultural and Practical Challenges: Adapting generative AI tools and research to meet the needs of global users and the role of user experience in making AI more effective.
AI Roles and Personas: The evolving landscape of AI roles, from developers working with APIs to researchers fine-tuning models, and how people can get started in the field.
The Competitive Landscape in AI: How companies like Google are reshaping the boundaries of generative AI with new tools and features.
Ravin will share his insights on balancing research with real-world applications, including adversarial testing of models, and offer practical advice for developers and businesses working with AI systems.
This episode will offer a rare glimpse into the state of generative AI at Google, providing valuable insights for AI enthusiasts, developers, and businesses alike. Don’t miss this opportunity to hear directly from someone working on the frontlines of AI research and product!