Anthropic

Week 19 review: Galaxy S25 Edge, Realme prototype with 10k-battery, and...

AI Observer
Anthropic

Samsung Galaxy A36 vs. Samsung Galaxy A35

AI Observer
Anthropic

“I just wanted my $22,000 back”, Thousands of Nigerians are dealing...

AI Observer
Anthropic

Why 12 Nigerian States with Free Right of Way still Lack...

AI Observer
Anthropic

Safaricom is aggressively pushing 5G in rural Kenya to take on...

AI Observer
Anthropic

Opera Mini launches AI-powered update to compete with Google and Microsoft...

AI Observer
Anthropic

South Africa suspends new SASSA Payment Cards, putting 28 million at...

AI Observer
Anthropic

I want to upgrade to Windows 11. Microsoft won’t let

AI Observer
Anthropic

Acer Malaysia introduces super lightweight TravelMate P6 AI laptop

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Anthropic

Malobi Ogbechie could not ship his fonio affordably, so he launched...

AI Observer
Anthropic

Nigeria is relying on AI and cybersecurity to lead Africa’s future...

AI Observer

Featured

Education

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

AI Observer
News

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

AI Observer
AI Observer

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...