Google AI Developers's banner
Google AI Developers's profile picture

Google AI Developers

@googleaidevs • 117,001 subscribers

AI for every developer. So what will you build?

Shorts

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.

815,611 views

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:

175,247 views

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)👇🧵

245,583 views

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 views

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 views

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 views

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 views

✍️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 views

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 views

Videos

LIVE
1.2k

Anya Rossi

sweetdream.ai

SweetDream.aiSponsored•Livecam
Streaming Now

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

HD live stream
Exclusive private shows
1.2k viewers online

Free preview available • Premium content

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.
0:37
googleaidevs's profile picture

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

30,486,625 views • 5 months ago

Check out this quick overview of the @Antigravity ecosystem 🚀
0:28
googleaidevs's profile picture

Check out this quick overview of the @Antigravity ecosystem 🚀

Google AI Developers

3,590,614 views • 2 months ago

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.
0:43
googleaidevs's profile picture

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 views • 2 months ago

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.
0:20
googleaidevs's profile picture

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

1,296,821 views • 6 months ago

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:
1:27
googleaidevs's profile picture

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

64,552 views • 15 days ago

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.
18:00
googleaidevs's profile picture

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 views • 1 month ago

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.
0:34
googleaidevs's profile picture

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 views • 10 months ago

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.
0:35
googleaidevs's profile picture

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

150,406 views • 5 months ago

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:
0:20
googleaidevs's profile picture

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 views • 3 months ago

👾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.
0:25
googleaidevs's profile picture

👾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

30,208 views • 1 month ago

After planning your idea, it’s time to build. 🏗️ This video shows you how you can use the Google ecosystem to construct and deploy AI-native apps seamlessly for the Build with Gemini @XPrize Hackathon, live through August 17.
1:43
googleaidevs's profile picture

After planning your idea, it’s time to build. 🏗️ This video shows you how you can use the Google ecosystem to construct and deploy AI-native apps seamlessly for the Build with Gemini @XPrize Hackathon, live through August 17.

Google AI Developers

21,814 views • 29 days ago

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.
5:18
googleaidevs's profile picture

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

106,936 views • 6 months ago

✨ 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
27:55
googleaidevs's profile picture

✨ 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 views • 1 year ago

We wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required for large-scale workflows.
0:33
googleaidevs's profile picture

We wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required for large-scale workflows.

Google AI Developers

23,445 views • 1 month ago

🔔 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.️
0:48
googleaidevs's profile picture

🔔 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

116,858 views • 8 months ago

Gemini Robotics ER 2 is our most capable embodied reasoning model designed for physical AI 🤖 Built as a high-level brain for robotics, the model connects directly to the Gemini Live API. It processes continuous video streams to track progress, call tools, search the web, and command an action model in real time. Upgrades for developers include: + Enhanced progress tracking + Real-time mid-execution failure detection + Multi-robot collaboration + Advanced safety instruction following
2:31
googleaidevs's profile picture

Gemini Robotics ER 2 is our most capable embodied reasoning model designed for physical AI 🤖 Built as a high-level brain for robotics, the model connects directly to the Gemini Live API. It processes continuous video streams to track progress, call tools, search the web, and command an action model in real time. Upgrades for developers include: + Enhanced progress tracking + Real-time mid-execution failure detection + Multi-robot collaboration + Advanced safety instruction following

Google AI Developers

21,227 views • 1 month ago

Introducing EmbeddingGemma: our new open, state-of-the-art embedding model designed for on-device AI 📱
0:36
googleaidevs's profile picture

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

Google AI Developers

153,927 views • 1 year ago

This Gemini 2.5 agent connects to 2,700+ APIs and 10K tools using MCP and Pipedream, and at less than 100 lines of code 🤯
1:12
googleaidevs's profile picture

This Gemini 2.5 agent connects to 2,700+ APIs and 10K tools using MCP and Pipedream, and at less than 100 lines of code 🤯

Google AI Developers

165,047 views • 1 year ago

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:
0:46
googleaidevs's profile picture

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

143,930 views • 1 year ago

You’ve planned your idea and built your app. Now it’s time to grow! 📈 Learn how you can market your product and deploy creative campaigns using tools like Google Flow and Pomelli By Google for the Build with Gemini @XPrize Hackathon, live through August 17.
1:49
googleaidevs's profile picture

You’ve planned your idea and built your app. Now it’s time to grow! 📈 Learn how you can market your product and deploy creative campaigns using tools like Google Flow and Pomelli By Google for the Build with Gemini @XPrize Hackathon, live through August 17.

Google AI Developers

11,402 views • 18 days ago