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Gemini Embedding 2 is now generally available in the Gemini API and Vertex AI! Start building with our first natively multimodal embedding model, now equipped with the stability and optimizations required for production apps.

Gemini Embedding 2 is now generally available in the Gemini API and Vertex AI! Start building with our first natively multimodal embedding model, now equipped with the stability and optimizations required for production apps.

816,271 görüntüleme

Can Gemini count the number of claps? 👏 Accurately counting rapid movements is a notoriously tricky task for AI. Because static processing ingests video at a fixed 1 FPS by default, split-second movements like a clap easily get missed entirely or get confused with a snap or click. Watch Gemini 3.7 Flash use the new agentic video understanding capability to accurately identify and count every single clap by automatically adapting the processing speed as needed:

Can Gemini count the number of claps? 👏 Accurately counting rapid movements is a notoriously tricky task for AI. Because static processing ingests video at a fixed 1 FPS by default, split-second movements like a clap easily get missed entirely or get confused with a snap or click. Watch Gemini 3.7 Flash use the new agentic video understanding capability to accurately identify and count every single clap by automatically adapting the processing speed as needed:

136,894 görüntüleme

Try 👁 Agentic Vision with Gemini 3 Flash in Google AI Studio or Vertex AI. This new capability enables the model to effectively use code and reasoning to improve performance for common vision tasks. See Agentic Vision in action:

Try 👁 Agentic Vision with Gemini 3 Flash in Google AI Studio or Vertex AI. This new capability enables the model to effectively use code and reasoning to improve performance for common vision tasks. See Agentic Vision in action:

175,284 görüntüleme

Some fun examples of Co-draw with Gemini 2.0 native image generation (make your own doodle with the link below)👇🧵

Some fun examples of Co-draw with Gemini 2.0 native image generation (make your own doodle with the link below)👇🧵

245,611 görüntüleme

Now that Gemini Embedding 2 is GA, let’s explore what the model unlocks — from agentic multimodal RAG to visual search — as it maps text, images, video, audio, and documents into a unified embedding space.

Now that Gemini Embedding 2 is GA, let’s explore what the model unlocks — from agentic multimodal RAG to visual search — as it maps text, images, video, audio, and documents into a unified embedding space.

62,539 görüntüleme

See Gemini 2.0's creative coding abilities! Watch how it can mimic an object's behavior in this demo by Trudy Painter ↓

See Gemini 2.0's creative coding abilities! Watch how it can mimic an object's behavior in this demo by Trudy Painter ↓

59,419 görüntüleme

See how Gemini 3 Flash and Vision-Language-Action (VLA) models work together to teach a robot how to play the board game First Orchard. This project shows how to use Gemini as the “brain” for tracking game rules and state, while the VLA handles complex physical manipulations like picking and placing fruit 🍎

See how Gemini 3 Flash and Vision-Language-Action (VLA) models work together to teach a robot how to play the board game First Orchard. This project shows how to use Gemini as the “brain” for tracking game rules and state, while the VLA handles complex physical manipulations like picking and placing fruit 🍎

26,640 görüntüleme

YouTube link support is now available within the Gemini API and Google AI Studio. This update lets developers leverage the vast repository of video content on YouTube for analysis, summarization, and more. →

YouTube link support is now available within the Gemini API and Google AI Studio. This update lets developers leverage the vast repository of video content on YouTube for analysis, summarization, and more. →

42,571 görüntüleme

✍️tldraw is using Gemini 3 Flash to power its natural language computer, tldraw computer. Networks of components on an infinite canvas each use Gemini to process data and generate content that flows into other components. These flows are faster, smarter, and more reliable with Gemini 3 Flash.

✍️tldraw is using Gemini 3 Flash to power its natural language computer, tldraw computer. Networks of components on an infinite canvas each use Gemini to process data and generate content that flows into other components. These flows are faster, smarter, and more reliable with Gemini 3 Flash.

12,450 görüntüleme

Craft a custom recommendation algorithm with Keras Recommenders. This new library contains APIs designed for ranking, retrieval, and starter examples for writing and training your first recommender →

Craft a custom recommendation algorithm with Keras Recommenders. This new library contains APIs designed for ranking, retrieval, and starter examples for writing and training your first recommender →

15,074 görüntüleme

Videos

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Start building with Gemini Embedding 2, our most capable and first fully multimodal embedding model built on the Gemini architecture. Now available in preview via the Gemini API and in Vertex AI.

Start building with Gemini Embedding 2, our most capable and first fully multimodal embedding model built on the Gemini architecture. Now available in preview via the Gemini API and in Vertex AI.

Google AI Developers

30,486,964 görüntüleme • 7 ay önce

Gemini 3.8 Flash is hardwired for complex reasoning. ⚙️ To test its skills, we built an interactive 3D visualizer with 3.8 Flash and Three.js in Google AI Studio. Watch the model generate realistic, physically-proportioned teardowns for hardware devices. It automatically decomposes devices into layers that users can explode and inspect with a deconstruction slider.

Gemini 3.8 Flash is hardwired for complex reasoning. ⚙️ To test its skills, we built an interactive 3D visualizer with 3.8 Flash and Three.js in Google AI Studio. Watch the model generate realistic, physically-proportioned teardowns for hardware devices. It automatically decomposes devices into layers that users can explode and inspect with a deconstruction slider.

Google AI Developers

1,496,181 görüntüleme • 1 ay önce

Check out this quick overview of the @Antigravity ecosystem 🚀

Check out this quick overview of the @Antigravity ecosystem 🚀

Google AI Developers

3,590,614 görüntüleme • 4 ay önce

Add near real-time voice translation to your apps with Gemini 3.5 Live Translate via the Gemini Live API. 🎙️ Watch how the model handles live broadcast ingestion and translation with continuous speech-to-speech streaming (S2ST) and synced transcripts, letting users tune into global radio broadcasts in their native language.

Add near real-time voice translation to your apps with Gemini 3.5 Live Translate via the Gemini Live API. 🎙️ Watch how the model handles live broadcast ingestion and translation with continuous speech-to-speech streaming (S2ST) and synced transcripts, letting users tune into global radio broadcasts in their native language.

Google AI Developers

3,544,749 görüntüleme • 4 ay önce

Control a robot in simulation with the Gemini Robotics Embodied Reasoning model 🤖 Direct tasks like object localization and placement by simply prompting a robotic arm to pick up and place objects.

Control a robot in simulation with the Gemini Robotics Embodied Reasoning model 🤖 Direct tasks like object localization and placement by simply prompting a robotic arm to pick up and place objects.

Google AI Developers

1,296,984 görüntüleme • 8 ay önce

With Gemini CLI's new pseudo-terminal (PTY) support, you can run complex, interactive commands like vim, top, or git rebase -i directly within the CLI without having to exit, keeping everything in context.

With Gemini CLI's new pseudo-terminal (PTY) support, you can run complex, interactive commands like vim, top, or git rebase -i directly within the CLI without having to exit, keeping everything in context.

Google AI Developers

331,453 görüntüleme • 1 yıl önce

We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻 Watch how it brings its understanding to life in an interactive visualization built in Google Antigravity:

We fed Gemini 3.7 Flash hundreds of PDFs from a Victorian book of botanical illustrations and tasked it with extracting and classifying these historical plants using the modern APG IV classification system. 🌳 💻 Watch how it brings its understanding to life in an interactive visualization built in Google Antigravity:

Google AI Developers

65,480 görüntüleme • 2 ay önce

Introducing Veo 3.1 Lite, now available via the Gemini API and Google AI Studio. Veo 3.1 Lite supports both Text-to-Video and Image-to-Video, and is less than half the cost of Veo 3.1 Fast.

Introducing Veo 3.1 Lite, now available via the Gemini API and Google AI Studio. Veo 3.1 Lite supports both Text-to-Video and Image-to-Video, and is less than half the cost of Veo 3.1 Fast.

Google AI Developers

150,582 görüntüleme • 6 ay önce

As we build tools that scale alongside rapid AI advancements, platform design must evolve to let the models do their best work. Kevin Hou on the evolution of @Antigravity at AI Engineer.

As we build tools that scale alongside rapid AI advancements, platform design must evolve to let the models do their best work. Kevin Hou on the evolution of @Antigravity at AI Engineer.

Google AI Developers

79,962 görüntüleme • 3 ay önce

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

We’re expanding the Gemini API File Search tool 🔍 with 3 new updates that enable developers to more easily build multimodal RAG systems with enhanced precision: + Multimodal Support: By leveraging our Gemini Embedding 2 model, File Search can now reason across image and text simultaneously. + Custom Metadata Filtering: Bring structure to unstructured data by tagging files with custom key-value labels. This pre-filters your data and boosts search speed. + Exact citations: File Search can now capture and return the exact source (down to the page number) for every piece of information indexed. See multimodal File Search in action with our example app in Google AI Studio. Chat with your entire image and doc library, ask questions, and trace answers back to the source:

Google AI Developers

108,801 görüntüleme • 5 ay önce

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 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

✨ What makes Gemini 2.5 Pro stand out? In this Release Notes episode, Sr. Product Manager Logan Kilpatrick and Gemini Product Lead Tulsee Doshi break down its reasoning, coding, and multimodal strengths, plus a 1M token long context. ↓ Timecodes: 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

Google AI Developers

228,165 görüntüleme • 1 yıl önce

Gemini 3 Flash now uses an agentic "think-act-observe" loop to solve complex visual tasks 🤖 Google DeepMind engineer Paul Ruiz demonstrates how the model runs Python code automatically to zoom and inspect items, annotate images, and re-visualize data into charts.

Gemini 3 Flash now uses an agentic "think-act-observe" loop to solve complex visual tasks 🤖 Google DeepMind engineer Paul Ruiz demonstrates how the model runs Python code automatically to zoom and inspect items, annotate images, and re-visualize data into charts.

Google AI Developers

106,993 görüntüleme • 8 ay önce

Introducing EmbeddingGemma: our new open, state-of-the-art embedding model designed for on-device AI 📱

Introducing EmbeddingGemma: our new open, state-of-the-art embedding model designed for on-device AI 📱

Google AI Developers

154,169 görüntüleme • 1 yıl önce

🔔 The Google AI Edge Gallery is now live on iOS via TestFlight. Experience the power and speed of LLMs models running entirely on-device, including support for image and audio modalities.️

🔔 The Google AI Edge Gallery is now live on iOS via TestFlight. Experience the power and speed of LLMs models running entirely on-device, including support for image and audio modalities.️

Google AI Developers

116,976 görüntüleme • 9 ay önce

Gemini CLI now integrates into VS Code. Get intelligent, context-aware suggestions and native in-editor diffing to review and modify changes directly in your IDE. Learn more:

Gemini CLI now integrates into VS Code. Get intelligent, context-aware suggestions and native in-editor diffing to review and modify changes directly in your IDE. Learn more:

Google AI Developers

143,985 görüntüleme • 1 yıl önce

Start building with Gemini 3 Pro, our most intelligent model with state-of-the-art reasoning and complex multimodal understanding, as well as powerful agentic and vibe coding capabilities. See more below:

Start building with Gemini 3 Pro, our most intelligent model with state-of-the-art reasoning and complex multimodal understanding, as well as powerful agentic and vibe coding capabilities. See more below:

Google AI Developers

104,898 görüntüleme • 11 ay önce

Build fully offline mobile assistants with FunctionGemma 270M. This demo parses natural language commands like “Create a calendar event for lunch tomorrow” or “Add to contacts” to execute OS actions directly on-device.

Build fully offline mobile assistants with FunctionGemma 270M. This demo parses natural language commands like “Create a calendar event for lunch tomorrow” or “Add to contacts” to execute OS actions directly on-device.

Google AI Developers

86,664 görüntüleme • 9 ay önce

Ever get stuck on a bug and wish the exact problem could be pointed out to you on screen? Watch how we used Gemini 3.8 Live Extended Thinking to build a coding tutor that sees your screen and uses function calling to reference the p5.js library, and talks you through the logic.

Ever get stuck on a bug and wish the exact problem could be pointed out to you on screen? Watch how we used Gemini 3.8 Live Extended Thinking to build a coding tutor that sees your screen and uses function calling to reference the p5.js library, and talks you through the logic.

Google AI Developers

12,606 görüntüleme • 27 gün önce

👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasoning in a fast-paced environment.

Google AI Developers

30,630 görüntüleme • 2 ay önce