Developing Google DeepMind's Thinking Models
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from Wish List failed.
Please try again later
Follow podcast failed
Unfollow podcast failed
Developing Google DeepMind's Thinking Models
-
Narrated by:
-
By:
About this listen
Jack Rae, Principal Scientist at Google DeepMind, joins host Logan Kilpatrick for an in-depth discussion on the development of Google’s thinking models. Learn more about practical applications of thinking models, the impact of increased 'thinking time' on model performance and the key role of long context.
01:14 - Defining Thinking Models
03:40 - Use Cases for Thinking Models
07:52 - Thinking Time Improves Answers
09:57 - Rapid Thinking Progress
20:11 - Long Context Is Key
27:41 - Tools for Thinking Models
29:44 - Incorporating Developer Feedback
35:11 - The Strawberry Counting Problem
39:15 - Thinking Model Development Timeline
42:30 - Towards a GA Thinking Model
49:24 - Thinking Models Powering AI Agents
54:14 - The Future of AI Model Evals
activate_mytile_page_redirect_t1
What listeners say about Developing Google DeepMind's Thinking Models
Average Customer RatingsReviews - Please select the tabs below to change the source of reviews.
In the spirit of reconciliation, Audible acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.