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5 Scikit-learn Pipeline Tricks to Supercharge Your Workflow Iván Palomares Carrascosa MachineLearningMastery.com

​Perhaps one of the most underrated yet powerful features that scikit-learn has to offer, pipelines are a great ally for building effective and modular machine learning workflows. Perhaps one of the most underrated yet powerful features that scikit-learn has to offer, pipelines are a great ally… Read More »5 Scikit-learn Pipeline Tricks to Supercharge Your Workflow Iván Palomares Carrascosa MachineLearningMastery.com

Context Engineering: Bringing Engineering Discipline to Prompts—Part 3 Addy Osmani AI & ML – Radar

​[[{“value”:” The following is Part 3 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here and Part 2 here. Context engineering is crucial, but it’s just one component of a larger stack needed to build… Read More »Context Engineering: Bringing Engineering Discipline to Prompts—Part 3 Addy Osmani AI & ML – Radar

How Do GPUs and TPUs Differ in Training Large Transformer Models? Top GPUs and TPUs with Benchmark Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Both GPUs and TPUs play crucial roles in accelerating the training of large transformer models, but their core architectures, performance profiles, and ecosystem compatibility lead to significant differences in use case, speed, and flexibility. Architecture and Hardware Fundamentals TPUs are custom ASICs (Application-Specific Integrated… Read More »How Do GPUs and TPUs Differ in Training Large Transformer Models? Top GPUs and TPUs with Benchmark Michal Sutter Artificial Intelligence Category – MarkTechPost

Google AI Introduced Guardrailed-AMIE (g-AMIE): A Multi-Agent Approach to Accountability in Conversational Medical AI Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advances in large language model (LLM)-powered diagnostic AI agents have yielded systems capable of high-quality clinical dialogue, differential diagnosis, and management planning in simulated settings. Yet, delivering individual diagnoses and treatment recommendations remains strictly regulated: only licensed clinicians can be responsible for critical… Read More »Google AI Introduced Guardrailed-AMIE (g-AMIE): A Multi-Agent Approach to Accountability in Conversational Medical AI Sana Hassan Artificial Intelligence Category – MarkTechPost

A Coding Guide to Build Flexible Multi-Model Workflows in GluonTS with Synthetic Data, Evaluation, and Advanced Visualizations Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In this tutorial, we explore GluonTS from a practical perspective, where we generate complex synthetic datasets, prepare them, and apply multiple models in parallel. We focus on how to work with diverse estimators in the same pipeline, handle missing dependencies gracefully, and still produce… Read More »A Coding Guide to Build Flexible Multi-Model Workflows in GluonTS with Synthetic Data, Evaluation, and Advanced Visualizations Asif Razzaq Artificial Intelligence Category – MarkTechPost

GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Particle-based simulations and point-cloud applications are driving a massive expansion in the size and complexity of scientific and commercial datasets, often leaping into the realm of billions or trillions of discrete points. Efficiently reducing, storing, and analyzing this data without bottlenecking modern GPUs is… Read More »GPZ: A Next-Generation GPU-Accelerated Lossy Compressor for Large-Scale Particle Data Nikhil Artificial Intelligence Category – MarkTechPost

Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT) Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models are typically refined after pretraining using either supervised fine-tuning (SFT) or reinforcement fine-tuning (RFT), each with distinct strengths and limitations. SFT is effective in teaching instruction-following through example-based learning, but it can lead to rigid behavior and poor generalization. RFT, on… Read More »Prefix-RFT: A Unified Machine Learning Framework to blend Supervised Fine-Tuning (SFT) and Reinforcement Fine-Tuning (RFT) Sana Hassan Artificial Intelligence Category – MarkTechPost

JSON Prompting for LLMs: A Practical Guide with Python Coding Examples Arham Islam Artificial Intelligence Category – MarkTechPost

​[[{“value”:” JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional text-based prompts, which can leave room for ambiguity and misinterpretation, JSON prompts organize requirements as key-value pairs, arrays,… Read More »JSON Prompting for LLMs: A Practical Guide with Python Coding Examples Arham Islam Artificial Intelligence Category – MarkTechPost

Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Table of contents 1. Regulatory and Risk Posture 2. Capability vs. Cost, Latency, and Footprint 3. Security and Compliance Trade-offs 4. Deployment Patterns 5. Decision Matrix (Quick Reference) 6. Concrete Use-Cases 7. Performance/Cost Levers Before “Going Bigger” EXAMPLES No single solution universally wins between… Read More »Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide Michal Sutter Artificial Intelligence Category – MarkTechPost

Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Differential privacy (DP) stands as the gold standard for protecting user information in large-scale machine learning and data analytics. A critical task within DP is partition selection—the process of safely extracting the largest possible set of unique items from massive user-contributed datasets (such as… Read More »Google AI Proposes Novel Machine Learning Algorithms for Differentially Private Partition Selection Asif Razzaq Artificial Intelligence Category – MarkTechPost