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Glitches in the Attention Matrix
A history of Transformer artifacts and the latest research on how to fix them The post Glitches in the Attention Matrix appeared first on Towards Data Science....
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UK police blame Microsoft Copilot for intelligence mistake
The chief constable of one of Britain's largest police forces has admitted that Microsoft's Copilot AI assistant made a mistake in a football soccer intelligenc...
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GPT 5.2 Codex now available on Vercel AI Gateway
You can now access GPT 5.2 Codex with Vercel's and no other provider accounts required. GPT 5.2 Codex combines GPT 5.2's strength in professional knowledge work...
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Topic Modeling Techniques for 2026: Seeded Modeling, LLM Integration, and Data Summaries
Seeded topic modeling, integration with LLMs, and training on summarized data are the fresh parts of the NLP toolkit. The post Topic Modeling Techniques for 202...
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[Paper] Measuring the benefits of lying in MARA under egalitarian social welfare
When some resources are to be distributed among a set of agents following egalitarian social welfare, the goal is to maximize the utility of the agent whose uti...
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[Paper] High-Performance Serverless Computing: A Systematic Literature Review on Serverless for HPC, AI, and Big Data
The widespread deployment of large-scale, compute-intensive applications such as high-performance computing, artificial intelligence, and big data is leading to...
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The Agentic Revolution: From Prompt to Partner – Navigating Autonomous AI in Your Organization new
From Generative AI to Agentic AI: The Next Revolution For the past two years, the world has been mesmerized by the “chatbot” era. We learned to prompt, to coax...
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LLMs are a 400-year-long confidence trick
In 1623 the German Wilhelm Schickard produced the first known designs for a mechanical calculator. Twenty years later Blaise Pascal produced a machine of an imp...
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[Paper] Cluster Workload Allocation: Semantic Soft Affinity Using Natural Language Processing
Cluster workload allocation often requires complex configurations, creating a usability gap. This paper introduces a semantic, intent-driven scheduling paradigm...
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How does a machine actually learn from data?
You’re probably wondering why you shouldn’t jump straight into scikit‑learn before you truly understand how a model learns. The key is to build a solid mental m...
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Battle of the CNNs: ResNet vs. MobileNet vs. EfficientNet for Fruit Disease Detection
Introduction I’ve always been fascinated by how deep learning can solve real‑world problems, and fruit disease detection seemed like the perfect challenge—not...
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[Paper] LatencyPrism: Online Non-intrusive Latency Sculpting for SLO-Guaranteed LLM Inference
LLM inference latency critically determines user experience and operational costs, directly impacting throughput under SLO constraints. Even brief latency spike...