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

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Diffbot’s AI doesn’t guess

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Meet China’s top 6 AI unicorns: Who are leading the AI...

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Microsoft releases powerful Phi-4 model on Hugging Face as a fully...

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BYD accelerates large model development, former Chief technology expert from 01.AI...

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HeyGen Integrates Sora for Advanced AI Avatar Technology Launch

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Education Technology Can Get us out of the Current Learning Rut...

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XPeng Aeroht’s Modular Flying Car Makes Its Debut Overseas

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Quantum? No solace: Nvidia CEO sinks QC stocks with ’20 years...

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Nvidia brings GenAI into the physical world with Cosmos.

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OpenAI is having a rough week–it could be the start of...

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Education

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...