Client Brief

Clients wanted a mixture of London news for an audience of London commuter readers. The goal was to deliver timely, engaging, and location-relevant stories that resonate with busy professionals on the go. Content had to maintain journalistic quality while being optimized for mobile consumption and AI-driven syndication via NoahWire’s advanced article generation platform.

London News

Recent innovations in Reinforcement Learning from Human Feedback (RLHF) are revolutionising how large language models are aligned with human values, blending scalability with safety to create more responsible AI systems, despite persistent challenges like bias and hallucinations. Reinforcement Learning from Human Feedback (RLHF) has emerged as a pivotal technique in training large language models (LLMs), addressing critical shortcomings of models solely reliant on next-token prediction. While pre-training equips LLMs with linguistic fluency, it does not inherently align their outputs with human values, preferences, or nuanced contextual understanding. Consequently, such models may produce harmful content, hallucinate facts, or fail to accurately…

Researchers from Presidency University have developed JobSphere, a sophisticated AI career assistant for Punjab’s employment platform. Utilising a cost-effective, multilingual Llama 3.2 model with advanced features, the platform aims to significantly improve usability for job seekers through enhanced accuracy, accessibility, and automation. Government employment portals are often fraught with usability…

The digital transformation of solar power plants has reached a pivotal stage, where Supervisory Control and Data Acquisition (SCADA) systems have become the backbone of smart solar operations. No longer mere collections of photovoltaic panels, modern solar installations leverage advanced SCADA architectures to ensure real-time visibility, seamless control, and comprehensive…

Enterprise AI in 2026 is shifting focus from massive models to specialised, autonomous systems that enhance operational efficiency, despite adoption challenges and scepticism about business value. In 2026, the generative artificial intelligence (AI) landscape is witnessing a profound shift away from the pursuit of ever-larger models towards more specialised, right-sized…

A novel hybrid metaheuristic, AQSCA, integrates sine-cosine dynamics, Levy flights, and chaotic sequences to enhance exploration and exploitation, outperforming conventional algorithms in high-dimensional and real-world engineering problems. The Sine Cosine Algorithm (SCA), initially proposed by Mirjalili, represents a novel, population-based metaheuristic optimizer designed to solve complex real-world optimization problems through…

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