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

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Enabling human centric support with generative artificial intelligence

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AI ethics and blockchain: Balancing data usage & privacy.

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The Download: AI and reporting in an age of Trump

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Mike Verdu, Netflix Games, leads new generative AI initiative.

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GenAI is a data-overloaded system, so companies need to focus on...

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What Africa needs do to become a major AI Player

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Ring-Based Mid Air Gesture Typing Using Deep Learning WordPrediction

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Nobel Prize in Physics 2024: The pioneers of deep learning and...

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AI Briefing: Index Exchange and Cognitiv to integrate generative AI for...

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Accelerating AI Innovation through Application Modernization

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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...