1+ hour, 30+ min ago  (950+ words) The core issue is structural. Large language models are frequently tasked with execution orchestration'handling tasks like routing, scheduling, and error handling that traditional code already excels at. While they can get the job done, they are slow, expensive, and exhibit…...

2+ hour ago  (910+ words) > The Agents API is in preview today in Type Script and Go. It can introduce breaking changes in minor version releases. An agent needs a name and a system prompt to start. From there you add tools, state, and a…...

1+ day, 1+ hour ago  (828+ words) Building real-world agent applications is rarely as simple as sending a single prompt. Production agents must classify, branch, fan out, ask a human to approve something, retry on failure, and loop until done. Expressing that complex orchestration as ad-hoc control…...

1+ day, 1+ hour ago  (1119+ words) You've shipped an agent. It works. You tweak a prompt to fix the one thing a user complained about, and it looks better on the three examples you tried. The question that keeps you up at night: did I just…...

2+ week, 1+ day ago  (254+ words) You can rely on the TPU Hub to provide regular updates to help you find the latest technical content from across Google. Whether you are just beginning your journey or are a seasoned practitioner looking to squeeze every ounce of…...

3+ week, 5+ hour ago  (289+ words) Following our announcement in our launch blog post, we are sharing this developer guide to help you understand, serve and customize this experimental model. Built on the Gemma 4 backbone, Diffusion Gemma introduces several milestones for developer workflows: Traditional autoregressive models…...

3+ week, 5+ day ago  (187+ words) Today we are announcing the Google Colab Command-Line Interface (CLI), which bridges the gap between your local terminal and remote Colab runtimes, providing a zero-friction execution platform for both developers and AI agents. The Colab CLI offers: Here is how an…...

4+ week, 44+ min ago  (428+ words) Following the announcement in our launch blog, we are releasing Gemma 4 12 B, a dense multimodal model with a unified, encoder-free architecture. Gemma 4 12 B introduces several milestones for local AI: Traditional multimodal models rely on frozen, separate vision encoders (e. g. , Gemma 4 uses…...

4+ week, 1+ hour ago  (128+ words) When it comes to advanced coding, Gemma 4 12 B doesn't just write scripts. In a complex 3 D rendering task, we observed that with just one user prompt, the model can generate a rubber duck rendering with dependency specification, generate code and…...

1+ mon, 4+ day ago  (215+ words) Link to Youtube Video (visible only when JS is disabled) Developers, we know you're increasingly using AI assistants and tools within your IDEs to streamline workflows, generate code, and find answers quickly. To make integrating with Google Pay & Google Wallet…...