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Digests from Google Developers
Learn how to transform spoken words into physical prints using Gemini and Nano Banana. This build-engineering project, 'Journal Receipts,' demonstrates a powerful AI pipeline for turning audio sentiment into tangible art.
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Learn how Per-Layer Embeddings (PLE) enhance Gemma 4 by giving each token a unique, layer-specific embedding. This boosts model performance and diversity without increasing computational parameters.
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Learn about the next generation of voice AI, covering native audio models, conversational latency, and agentic tasks. We discuss moving beyond WER to measure real-world dialogue quality.
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Gemma 4 12B is an encoder-free model that processes audio and image inputs directly, bypassing the need for large, dedicated encoders like the Conformer or vision Transformers. This significantly improves efficiency and reduces time-to-first-token.
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The Gemma 4 family offers five multimodal models, including E2B/E4B for on-device use, the encoder-free 12B, the MoE 26B, and the 31B dense model.
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The Gemini Live API introduces async function calling, Proactive Audio, and context injection via sendClientContent. The demo showcases frontier-level background reasoning and model switching for superior creative output.
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Discover the latest in the Gemini Live API, featuring async function calling, proactive audio, and frontier-level background reasoning. Learn how to build real-time, low-latency AI experiences.
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Antigravity Remote Control lets you manage and monitor agents across different machines from a single interface. Launch long-running agents and step in only when needed, retaining all local context.
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Celebrating one billion downloads, this talk highlights Gemma 4's multimodal breakthrough (video/audio) and introduces Unsloth Desktop for local model development.
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Agentic video understanding with Gemini processes long videos efficiently by using specialized tools (like get transcript and get frames) instead of submitting the entire content, drastically reducing token count.
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Agentic Video Understanding in Gemini solves token bloat by using an intelligent agentic loop to localize analysis. Instead of processing entire videos (100k+ tokens), it uses tools like get transcript and get frames.
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Koray Kavukcuoglu discusses the shift from coding to full software engineering, detailing how agentic workflows are key to building AGI. He highlights Gemini 4 as an ambitious pre-training run.
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Gemini 3.5 Transcribe is an LLM-based transcription model available via Interactions API and Live API, enabling fast, contextually accurate transcribing of multi-speaker recordings.
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Gemini 3.5 Transcribe is an LLM-based transcription model available on the Interactions and Live APIs. It excels at transcribing complex data like email addresses, phone numbers, and multilingual speech.
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Learn to build a real-time multilingual broadcast app using Gemini 3.5 Live Translate, LiveKit, and Google Cloud Run. The demo covers setting up translation sessions, managing WebSockets, and broadcasting captions via WebRTC.
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Learn how to build a real-time multilingual broadcast app using Gemini 3.5 Live Translate, LiveKit, and Google Cloud Run. The demo efficiently manages multiple language streams by subscribing new listeners to existing sessions.
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Discover how Gemini 3.7 Flash powers scalable multi-agent systems for enterprise use. Learn about optimizing costs (up to 10x cheaper) and implementing low-latency intent classification.
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See how Gemini 3.7 Flash is used to build a playable animated sprite game in Google Antigravity from a single prompt, showcasing rapid prototyping capabilities.
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Gemini 3.7 Flash enables agent-first workflows, allowing users to build complex games and prototypes in Google Antigravity from single prompts.
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Founders at YC Startup School showcase how Gemini 3.1 Flash handles multilingual receipt parsing and how AlphaFold is revolutionizing antibiotic resistance research.
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