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Launching Gemini 2.5
Manage episode 473982746 series 3624003
Tulsee Doshi, Head of Product for Gemini Models joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini 2.5 Pro experimental launch. Gemini 2.5 is a well-rounded, multimodal thinking model, designed to tackle increasingly complex problems. From enhanced reasoning to advanced coding, Gemini 2.5 can create impressive web applications and agentic code applications. Learn about the process of building Gemini 2.5 Pro experimental, the improvements made across the stack, and what’s next for Gemini 2.5.
Chapters:
0:00 - Introduction
1:05 - Gemini 2.5 launch overview
3:19 - Academic evals vs. vibe checks
6:19 - The jump to 2.5
7:51 - Coordinating cross-stack improvements
11:48 - Role of pre/post-training vs. test-time compute
13:21 - Shipping Gemini 2.5
15:29 - Embedded safety process
17:28 - Multimodal reasoning with Gemini 2.5
18:55 - Benchmark deep dive
22:07 - What’s next for Gemini
24:49 - Dynamic thinking in Gemini 2.5
25:37 - The team effort behind the launch
Resources:
- Gemini → https://goo.gle/41Yf72b
- Gemini 2.5 blog post → https://goo.gle/441SHiV
- Example of Gemini’s 2.5 Pro’s game design skills → https://goo.gle/43vxkq1
- Demo: Gemini 2.5 Pro Experimental in Google AI Studio → https://goo.gle/4c5RbhE
16 פרקים
Manage episode 473982746 series 3624003
Tulsee Doshi, Head of Product for Gemini Models joins host Logan Kilpatrick for an in-depth discussion on the latest Gemini 2.5 Pro experimental launch. Gemini 2.5 is a well-rounded, multimodal thinking model, designed to tackle increasingly complex problems. From enhanced reasoning to advanced coding, Gemini 2.5 can create impressive web applications and agentic code applications. Learn about the process of building Gemini 2.5 Pro experimental, the improvements made across the stack, and what’s next for Gemini 2.5.
Chapters:
0:00 - Introduction
1:05 - Gemini 2.5 launch overview
3:19 - Academic evals vs. vibe checks
6:19 - The jump to 2.5
7:51 - Coordinating cross-stack improvements
11:48 - Role of pre/post-training vs. test-time compute
13:21 - Shipping Gemini 2.5
15:29 - Embedded safety process
17:28 - Multimodal reasoning with Gemini 2.5
18:55 - Benchmark deep dive
22:07 - What’s next for Gemini
24:49 - Dynamic thinking in Gemini 2.5
25:37 - The team effort behind the launch
Resources:
- Gemini → https://goo.gle/41Yf72b
- Gemini 2.5 blog post → https://goo.gle/441SHiV
- Example of Gemini’s 2.5 Pro’s game design skills → https://goo.gle/43vxkq1
- Demo: Gemini 2.5 Pro Experimental in Google AI Studio → https://goo.gle/4c5RbhE
16 פרקים
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