Загрузка видео...

Не удалось загрузить видео

На главную

Dive into Gemini 2.0 Flash Experimental! AI Dev Advocate, Ian Ballantyne, covers the new Multimodal Live API, native tool use, spatial reasoning and multimodal output capabilities for devs to build dynamic experiences.

googleaidevs's profile picture

Google AI Developers

26,687 subscribers

27,676 просмотров • 1 год назад •via X (Twitter)

ОбразованиеЗдоровье и велнесНаука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 7

Фото профиля Google AI Developers
Google AI Developers1 год назад

📁Resources - YouTube → - Docs → - Code → - Get started →

Фото профиля Lab4crypto
Lab4crypto1 год назад

🚀 Don't gamble with your portfolio! Use our advanced hybrid quant risk tool using on/off-chain data and make informed decisions. 📈 Acess to 1000+ charts for your crypto journey. 📚Join our Premium Telegram for daily alerts. 📊+21 projects supported. 🏗️ Beginners and experts.

Фото профиля AI Leaks and News
AI Leaks and News1 год назад

Multimodal live API is incredible

Фото профиля Rishi
Rishi1 год назад

any idea when you'll announce 2.0 api pricing?

Фото профиля Florian Camiade 🗝️
Florian Camiade 🗝️1 год назад

I admit it's really amazing

Фото профиля Joana Carrasqueira
Joana Carrasqueira1 год назад

Amazing 👏🏼

Фото профиля Bail0ut
Bail0ut1 год назад

Wen hackathon for newb devs?

Похожие видео

Welcome to the world, Gemini 2.0 ✨ our most capable AI model yet. We're first releasing an experimental version of 2.0 Flash ⚡ It has better performance, new multimodal output, Google tool use - and paves the way for new agentic experiences. 🧵
2:52

Welcome to the world, Gemini 2.0 ✨ our most capable AI model yet. We're first releasing an experimental version of 2.0 Flash ⚡ It has better performance, new multimodal output, Google tool use - and paves the way for new agentic experiences. 🧵

Google DeepMind

365,278 просмотров • 1 год назад

Gemini 2.5 is driving new advancements in robotics with its strong coding, spatial reasoning, and multimodal capabilities. 🦾
0:20

Gemini 2.5 is driving new advancements in robotics with its strong coding, spatial reasoning, and multimodal capabilities. 🦾

Google AI Developers

36,119 просмотров • 1 год назад

Multimodal Reasoning AI Agents are here with Gemini 2.0 Flash Thinking I built a multimodal AI agent that can reason and understand images using gemini flash reasoning LLM. 100% Opensource Code with step-by-step tutorial.
0:20

Multimodal Reasoning AI Agents are here with Gemini 2.0 Flash Thinking I built a multimodal AI agent that can reason and understand images using gemini flash reasoning LLM. 100% Opensource Code with step-by-step tutorial.

Shubham Saboo

36,596 просмотров • 1 год назад

We unveiled the new Multimodal Live API for Gemini 2.0 Flash Experimental. ⚡ Developers can harness the power of real-time audio and video streaming to create anything from interactive assistants that respond to your voice to live translation applications. ↓
2:30

We unveiled the new Multimodal Live API for Gemini 2.0 Flash Experimental. ⚡ Developers can harness the power of real-time audio and video streaming to create anything from interactive assistants that respond to your voice to live translation applications. ↓

Google DeepMind

117,701 просмотров • 1 год назад

Unleash multimodal AI like never before 🔥 The new real-time vision agent built with Gemini 3.1 Flash Live API sees, hears, speaks, and creates music. Get the technical deep dive:
0:54

Unleash multimodal AI like never before 🔥 The new real-time vision agent built with Gemini 3.1 Flash Live API sees, hears, speaks, and creates music. Get the technical deep dive:

Google for Developers

13,015 просмотров • 2 месяцев назад

Gemini 2.5 Flash Preview now supports native audio output via the Live API for seamless and natural spoken interactions. With support for 30+ voices, build conversational AI agents and experiences that feel more intuitive and natural →
0:35

Gemini 2.5 Flash Preview now supports native audio output via the Live API for seamless and natural spoken interactions. With support for 30+ voices, build conversational AI agents and experiences that feel more intuitive and natural →

Google AI Developers

23,173 просмотров • 1 год назад

Google's Project Astra using Gemini 2.0 is capable of multimodal reasoning, tool use, search, cross-session and cross-device memory, understanding your phone screen and the real world through glasses to be a universal AI assistant
2:32

Google's Project Astra using Gemini 2.0 is capable of multimodal reasoning, tool use, search, cross-session and cross-device memory, understanding your phone screen and the real world through glasses to be a universal AI assistant

Tsarathustra

18,938 просмотров • 1 год назад

This is Gemini 3: our most intelligent model that helps you learn, build and plan anything. It comes with state-of-the-art reasoning capabilities, world-leading multimodal understanding, and enables new agentic coding experiences. 🧵
1:56

This is Gemini 3: our most intelligent model that helps you learn, build and plan anything. It comes with state-of-the-art reasoning capabilities, world-leading multimodal understanding, and enables new agentic coding experiences. 🧵

Google DeepMind

1,692,770 просмотров • 7 месяцев назад

How does an AI model actually learn to see? 🤖 Learn about the tech behind native multimodality, how models reason over visual data like documents and video, and the future of proactive AI assistants with Logan Kilpatrick and Gemini Model Behavior Product Lead, Ani Baddepudi. ↓ Timestamps: 01:12 Why Gemini is natively multimodal 02:23 The technology behind multimodal models 05:15 Video understanding with Gemini 2.5 09:25 Deciding what to build next 13:23 Building new product experiences with multimodal AI 17:15 The vision for proactive assistants 24:13 Improving video usability with variable FPS and frame tokenization 27:35 What’s next for Gemini’s multimodal development 31:47 Deep dive on Gemini’s document understanding capabilities 37:56 The teamwork and collaboration behind Gemini 40:56 What’s next with model behavior
44:17

How does an AI model actually learn to see? 🤖 Learn about the tech behind native multimodality, how models reason over visual data like documents and video, and the future of proactive AI assistants with Logan Kilpatrick and Gemini Model Behavior Product Lead, Ani Baddepudi. ↓ Timestamps: 01:12 Why Gemini is natively multimodal 02:23 The technology behind multimodal models 05:15 Video understanding with Gemini 2.5 09:25 Deciding what to build next 13:23 Building new product experiences with multimodal AI 17:15 The vision for proactive assistants 24:13 Improving video usability with variable FPS and frame tokenization 27:35 What’s next for Gemini’s multimodal development 31:47 Deep dive on Gemini’s document understanding capabilities 37:56 The teamwork and collaboration behind Gemini 40:56 What’s next with model behavior

Google AI

58,703 просмотров • 1 год назад

Today we announced Gemini 2.0, our most capable AI model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.
2:52

Today we announced Gemini 2.0, our most capable AI model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.

Google

137,190 просмотров • 1 год назад

Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.
0:28

Gemini 3 Flash can analyze high-fidelity images and use multimodal reasoning to determine next steps. See how the model understands complex visuals and generates layers of interactive elements.

Google AI Developers

47,280 просмотров • 6 месяцев назад

The future! Gemini Live API on Smart Glasses. Build with Brilliant Labs Frame featuring REALTIME Google DeepMind Gemini VOICE and VISION, bringing powerful multimodal AI directly to your eyes! Code is open source and available for Android and iOS.
1:47

The future! Gemini Live API on Smart Glasses. Build with Brilliant Labs Frame featuring REALTIME Google DeepMind Gemini VOICE and VISION, bringing powerful multimodal AI directly to your eyes! Code is open source and available for Android and iOS.

Philipp Schmid

16,051 просмотров • 1 год назад

Want to build on the new Google Multimodal Live API with Gemini 2.0? My teammates Kyle Phillips + @tinaz0ne + Trudy Painter made open-source starter demos! 🧵 Here's a React.js boilerplate console you can start with. Code here:
1:40

Want to build on the new Google Multimodal Live API with Gemini 2.0? My teammates Kyle Phillips + @tinaz0ne + Trudy Painter made open-source starter demos! 🧵 Here's a React.js boilerplate console you can start with. Code here:

Alexander Chen

25,037 просмотров • 1 год назад

Gemini 2.0 with Code Execution is actually INSANE🔥 90% don't even know about this feature. - Run Python code in real-time - Handles complex data analysis & makes charts instantly - Works in both API & AI Studio - Use Multimodal Live API and Reasoning model Here's how you can use 👇 1/4 Example 1: Real-time analysis & visualization
2:22

Gemini 2.0 with Code Execution is actually INSANE🔥 90% don't even know about this feature. - Run Python code in real-time - Handles complex data analysis & makes charts instantly - Works in both API & AI Studio - Use Multimodal Live API and Reasoning model Here's how you can use 👇 1/4 Example 1: Real-time analysis & visualization

AshutoshShrivastava

92,641 просмотров • 1 год назад

Grounding with Google Maps is now available in the Gemini API📍The new feature connects the reasoning capabilities of Gemini models with the real-world data of Google Maps (from 250 million places) allowing devs to build a new class of geospatial-aware AI apps.
1:46

Grounding with Google Maps is now available in the Gemini API📍The new feature connects the reasoning capabilities of Gemini models with the real-world data of Google Maps (from 250 million places) allowing devs to build a new class of geospatial-aware AI apps.

Google AI Developers

60,265 просмотров • 8 месяцев назад

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: API: Coding Plan trial applications:
1:17

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: API: Coding Plan trial applications:

Z.ai

1,963,346 просмотров • 3 месяцев назад

Google I/O showed where AI is headed. Our community spent the weekend building it. Builders gathered in San Francisco alongside Google DeepMind to turn the newest Gemini + Gemma capabilities into working products. From multimodal agents and voice interfaces to long-horizon reasoning systems, teams showed us what’s possible with Gemini 3.5 Flash. The winners:
1:51

Google I/O showed where AI is headed. Our community spent the weekend building it. Builders gathered in San Francisco alongside Google DeepMind to turn the newest Gemini + Gemma capabilities into working products. From multimodal agents and voice interfaces to long-horizon reasoning systems, teams showed us what’s possible with Gemini 3.5 Flash. The winners:

Cerebral Valley

18,667 просмотров • 1 месяц назад

Can AI chain tools together to complete complex tasks in real-time? Gemini 2.0 can. Here's a React demo using the new Multimodal Live API to chain code execution + real-time Google Search. I'm amazed at how fast this is.
2:17

Can AI chain tools together to complete complex tasks in real-time? Gemini 2.0 can. Here's a React demo using the new Multimodal Live API to chain code execution + real-time Google Search. I'm amazed at how fast this is.

Addy Osmani

17,782 просмотров • 1 год назад