Tulsee Doshi, Gemini model product lead, joins host Logan Kilpatrick to go behind the scenes of Gemini 2.0, taking a deep dive into the model's multimodal capabilities and native tool use, and Google's approach to shipping experimental models.
Read more in the blog → https://goo.gle/3OR4Y16
Test and explore an experimental version of Gemini 2.0 Flash via:
Gemini API→https://goo.gle/4fcV2cV
Google AI Studio → https://goo.gle/3QwNgkD
Vertex AI → https://goo.gle/4g8rM8t
Listen to this podcast:
Apple Podcasts → https://goo.gle/3Bm7QzQ
Spotify → https://goo.gle/3ZL3ADl
Chapters:
0:00 - Intro
1:01- Meet Tulsee Doshi
1:14 - Gemini's Progress Over the Past Year
4:59 - Introducing Gemini 2.0
7:47 - Shipping Experimental Models
12:32 - Gemini 2.0’s Native Tool Use
18:58 - Function Calling
25:58 - Multimodal Agents
31:40 - Rapid Fire Questions
Subscribe to Google for Developers → https://goo.gle/developers
Product: Gemini
Read more in the blog → https://goo.gle/3OR4Y16
Test and explore an experimental version of Gemini 2.0 Flash via:
Gemini API→https://goo.gle/4fcV2cV
Google AI Studio → https://goo.gle/3QwNgkD
Vertex AI → https://goo.gle/4g8rM8t
Listen to this podcast:
Apple Podcasts → https://goo.gle/3Bm7QzQ
Spotify → https://goo.gle/3ZL3ADl
Chapters:
0:00 - Intro
1:01- Meet Tulsee Doshi
1:14 - Gemini's Progress Over the Past Year
4:59 - Introducing Gemini 2.0
7:47 - Shipping Experimental Models
12:32 - Gemini 2.0’s Native Tool Use
18:58 - Function Calling
25:58 - Multimodal Agents
31:40 - Rapid Fire Questions
Subscribe to Google for Developers → https://goo.gle/developers
Product: Gemini
- Category
- Project
- Tags
- Google, developers, pr_pr: Generative AI;
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