Models & Releases

PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters

A single model now handles optical character recognition across dozens of languages with configurable size options.

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PP-OCRv6 is the latest generation of an optical character recognition model family that detects and recognizes text across various real-world scenarios including documents, screenshots, and industrial labels. The model family offers three tiers ranging from 1.5M to 34.5M parameters, with the medium and small tiers supporting 50 languages including Simplified Chinese, Traditional Chinese, English, Japanese, and Latin-script languages. PP-OCRv6 matters because it provides lightweight, production-ready OCR with improved accuracy compared to its predecessor while remaining deployable across different runtime environments. The model can be used with multiple inference backends including Transformers, ONNX Runtime, and Paddle Inference, making it accessible to different development environments.

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Google releases Gemini 4 Carbon with agent ‘swarm’ feature

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Gemini 4 Carbon is now available

The latest version aims to deliver improved performance while reducing the computational resources and energy required for AI operations.

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Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens

Google has launched the Gemini Decisions API, powered by a new model, Gemini Decision 1 (gemini-decision-1). The Gemini Decisions API does not generate text. It scores up to 1,000 typed questions against one shared input and returns calibrated probabilities. For developers, this targets the small branching calls inside agents: routing, policy checks, tool selection and grading. Google prices it at $0.10 per 1M input tokens, with zero output tokens billed. TL;DR Size: Context is 262,144 t

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Introducing AlphaProof Code: a breakthrough in verifying complex software at depth

AlphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.