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Huawei Introduces Pangu Ultra MoE: A 718B-Parameter Sparse Language Model Trained...

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NVIDIA Open-Sources Open Code Reasoning Models (32B, 14B, 7B)

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UK opens Europe’s first E-Beam semiconductor chip lab

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Meta beefs up AI security with new Llama toolsĀ 

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Education

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Natural Language Processing

Are AI chatbots really changing the world of work?

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Google AMIE: AI doctor learns to ā€˜see’ medical images

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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...