News

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

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Google tests simpler Circle to Search

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Google Photos removing the ‘Memories tab’ on Android

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Meta accused of using pirated torrents to train its AI

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Meta AI’s Llama Language Model modded to run in old Xbox...

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OpenAI presents a new blueprint for AI regulation that is its...

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Mercedes-Benz Virtual Assistant uses Google Conversational AI agent

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Sa2VA: A Unified AI Framework for Dense Grounded Video and Image...

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Natural Language Processing

What are Small Language Models (SLMs)?

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This AI Paper Introduces Toto: Autoregressive Video Models for Unified Image...

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R3GAN: A Simplified and Stable Baseline for Generative Adversarial Networks GANs

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Featured

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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News

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...