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10 Useful NumPy One-Liners for Time Series Analysis Bala Priya C MachineLearningMastery.com

​Working with time series data often means wrestling with the same patterns over and over: calculating moving averages, detecting spikes, creating features for forecasting models. Working with time series data often means wrestling with the same patterns over and over: calculating moving averages, detecting spikes, creating… Read More »10 Useful NumPy One-Liners for Time Series Analysis Bala Priya C MachineLearningMastery.com

LLM System Design and Model Selection Louis-François Bouchard and Louie Peters AI & ML – Radar

​[[{“value”:” Choosing the right LLM has become a full-time job. New models appear almost daily, each offering different capabilities, prices, and quirks, from reasoning strengths to cost efficiency to code generation. This competition creates strong incentives for AI labs to carve out a niche and… Read More »LLM System Design and Model Selection Louis-François Bouchard and Louie Peters AI & ML – Radar

What is MLSecOps(Secure CI/CD for Machine Learning)?: Top MLSecOps Tools (2025) Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Machine learning (ML) is transforming industries, powering innovation in domains as varied as financial services, healthcare, autonomous systems, and e-commerce. However, as organizations operationalize ML models at scale, traditional approaches to software delivery—chiefly, Continuous Integration and Continuous Deployment (CI/CD)—have revealed critical gaps when applied… Read More »What is MLSecOps(Secure CI/CD for Machine Learning)?: Top MLSecOps Tools (2025) Michal Sutter Artificial Intelligence Category – MarkTechPost

Your LLM is 5x Slower Than It Should Be. The Reason? Pessimism—and Stanford Researchers Just Showed How to Fix It Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table of contents The Hidden Bottleneck in LLM Inference Amin: The Optimistic Scheduler That Learns on the Fly The Proof Is in the Performance: Near-Optimal and Robust Conclusion FAQs In the fast-paced world of AI, large language models (LLMs) like GPT-4 and Llama are… Read More »Your LLM is 5x Slower Than It Should Be. The Reason? Pessimism—and Stanford Researchers Just Showed How to Fix It Michal Sutter Artificial Intelligence Category – MarkTechPost

Microsoft Released VibeVoice-1.5B: An Open-Source Text-to-Speech Model that can Synthesize up to 90 Minutes of Speech with Four Distinct Speakers Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table of contents Key Features Architecture and Technical Deep Dive Model Limitations and Responsible Use Conclusion FAQs Microsoft’s latest open source release, VibeVoice-1.5B, redefines the boundaries of text-to-speech (TTS) technology—delivering expressive, long-form, multi-speaker generated audio that is MIT licensed, scalable, and highly flexible for… Read More »Microsoft Released VibeVoice-1.5B: An Open-Source Text-to-Speech Model that can Synthesize up to 90 Minutes of Speech with Four Distinct Speakers Asif Razzaq Artificial Intelligence Category – MarkTechPost

SEA-LION v4: Multimodal Language Modeling for Southeast Asia Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI Singapore (AISG) has released SEA-LION v4, an open-source multimodal language model developed in collaboration with Google and based on the Gemma 3 (27B) architecture. The model is designed to support Southeast Asian languages, including those with limited digital resources, and provides both text… Read More »SEA-LION v4: Multimodal Language Modeling for Southeast Asia Asif Razzaq Artificial Intelligence Category – MarkTechPost