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MCP and the Innovation Paradox: Why open standards can save AI...

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[iPhonedeGoogle AIwoHuo Yong shiyou] iOSYong GeminiapuriGong Kai , Hui Hua dekiru[Live]...

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Google DeepMind presents Veo 2: The latest version of the AI...

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Google DeepMind unveils Veo 2: an advanced video model to compete...

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Google unveils Veo 2 text to video which destroys OpenAI’s Sora.

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Google shows new video AI: How Veo 2 compares to OpenAI’s...

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OpenAI’s O3 is a turning-point for AI, and it comes with...

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OpenAI reveals its restructuring plan to become a for-profit company

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ChatGPTtoSoradeZhang Hai Fa Sheng –Yuan Yin ha[Shang Liu purobaida]

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It is the biggest novelty of the year for WhatsApp: for...

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Google wants to prevent ChatGPT from being the leader in artificial...

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A Coding Implementation of Accelerating Active Learning Annotation with Adala and...

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LightOn AI Released GTE-ModernColBERT-v1: A Scalable Token-Level Semantic Search Model for...

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This AI Paper Introduces Effective State-Size (ESS): A Metric to Quantify...

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Technology

Dream 7B: How Diffusion-Based Reasoning Models Are Reshaping AI

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A Coding Implementation of Accelerating Active Learning Annotation with Adala and...

In this tutorial, we’ll learn how to leverage the framework to build a modular active learning pipeline for medical symptom classification. We begin by installing and verifying Adala alongside required dependencies, then integrate Google Gemini as a custom annotator to categorize symptoms into predefined medical domains. Through a...