Google AI Developers's banner

Google AI Developers

@googleaidevs • 115,912 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.

814,679 просмотров

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:

175,116 просмотров

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 просмотров

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)👇🧵

245,519 просмотров

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 просмотров

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 просмотров

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 просмотров

✍️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 просмотров

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

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

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

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.

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

30,485,520 просмотров • 4 месяцев назад

Check out this quick overview of the @Antigravity ecosystem 🚀

Check out this quick overview of the @Antigravity ecosystem 🚀

Google AI Developers

3,590,175 просмотров • 1 месяц назад

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

3,543,687 просмотров • 1 месяц назад

The Build with Gemini XPRIZE Hackathon is live through August 17, 2026. Dream big, build a startup that solves real-world problems, and compete for $2M in prizes. This video shows you how to use different Google products and tools, like Gemini Deep Research, Gemini Spark, and Google AI Studio, to bring your project from idea to launch 💡

The Build with Gemini XPRIZE Hackathon is live through August 17, 2026. Dream big, build a startup that solves real-world problems, and compete for $2M in prizes. This video shows you how to use different Google products and tools, like Gemini Deep Research, Gemini Spark, and Google AI Studio, to bring your project from idea to launch 💡

Google AI Developers

38,280 просмотров • 1 день назад

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

1,296,462 просмотров • 5 месяцев назад

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

63,750 просмотров • 12 дней назад

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

108,622 просмотров • 2 месяцев назад

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

150,179 просмотров • 3 месяцев назад

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 просмотров • 9 месяцев назад

🧪From lab research to developer reality. Learn how we turn advanced AI research into practical tools you can actually build with in this talk from Benoit Schillings, VP of Technology Google DeepMind at AI Engineer.

🧪From lab research to developer reality. Learn how we turn advanced AI research into practical tools you can actually build with in this talk from Benoit Schillings, VP of Technology Google DeepMind at AI Engineer.

Google AI Developers

15,299 просмотров • 10 дней назад

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

106,868 просмотров • 5 месяцев назад

🔔 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

116,858 просмотров • 6 месяцев назад

✨ 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

228,118 просмотров • 1 год назад

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

153,866 просмотров • 10 месяцев назад

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 🤯

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 просмотров • 11 месяцев назад

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

143,878 просмотров • 11 месяцев назад

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 просмотров • 8 месяцев назад

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

86,491 просмотров • 6 месяцев назад

The Type Motion demo on Google AI Studio transforms simple text phrases into cinematic motion text using a two-step generative process.

The Type Motion demo on Google AI Studio transforms simple text phrases into cinematic motion text using a two-step generative process.

Google AI Developers

67,227 просмотров • 6 месяцев назад

💎 Gemma 4 31B can leverage an ADK Agent and code execution sandbox to autonomously navigate complex, ambiguous tasks. Follow along as this demo showcases: + Zero-shot code generation + Tool usage + Multi-step debugging and recovery + “Learned” multimodal output

💎 Gemma 4 31B can leverage an ADK Agent and code execution sandbox to autonomously navigate complex, ambiguous tasks. Follow along as this demo showcases: + Zero-shot code generation + Tool usage + Multi-step debugging and recovery + “Learned” multimodal output

Google AI Developers

39,423 просмотров • 3 месяцев назад