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Context Engineering: Bringing Engineering Discipline to Prompts—Part 2 Addy Osmani AI & ML – Radar

​[[{“value”:” The following is Part 2 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here. Great context engineering strikes a balance—include everything the model truly needs but avoid irrelevant or excessive detail that could… Read More »Context Engineering: Bringing Engineering Discipline to Prompts—Part 2 Addy Osmani AI & ML – Radar

What is AI Inference? A Technical Deep Dive and Top 9 AI Inference Providers (2025 Edition) Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) has evolved rapidly—especially in how models are deployed and operated in real-world systems. The core function that connects model training to practical applications is “inference”. This article offers a technical deep dive into AI inference as of 2025, covering its distinction… Read More »What is AI Inference? A Technical Deep Dive and Top 9 AI Inference Providers (2025 Edition) Michal Sutter Artificial Intelligence Category – MarkTechPost

Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution Apple Machine Learning Research

​Large language models (LLMs) have achieved impressive performance, leading to their widespread adoption as decision-support tools in resource-constrained contexts like hiring and admissions. There is, however, scientific consensus that AI systems can reflect and exacerbate societal biases, raising concerns about identity-based harm when used in… Read More »Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution Apple Machine Learning Research

Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations Apple Machine Learning Research

​[[{“value”:”This paper was accepted at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2025 Non-negative Matrix Factorization (NMF) is a powerful technique for analyzing regularly-sampled data, i.e., data that can be stored in a matrix. For audio, this has led… Read More »Rethinking Non-Negative Matrix Factorization with Implicit Neural Representations Apple Machine Learning Research

Hugging Face Unveils AI Sheets: A Free, Open-Source No-Code Toolkit for LLM-Powered Datasets Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Hugging Face has just released AI Sheets, a free, open-source, and local-first no-code tool designed to radically simplify dataset creation and enrichment with AI. AI Sheets aims to democratize access to AI-powered data handling by merging the intuitive spreadsheet interface with direct access to… Read More »Hugging Face Unveils AI Sheets: A Free, Open-Source No-Code Toolkit for LLM-Powered Datasets Michal Sutter Artificial Intelligence Category – MarkTechPost

A Coding Guide to Build and Validate End-to-End Partitioned Data Pipelines in Dagster with Machine Learning Integration Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In this tutorial, we implement an advanced data pipeline using Dagster. We set up a custom CSV-based IOManager to persist assets, define partitioned daily data generation, and process synthetic sales data through cleaning, feature engineering, and model training. Along the way, we add a… Read More »A Coding Guide to Build and Validate End-to-End Partitioned Data Pipelines in Dagster with Machine Learning Integration Sana Hassan Artificial Intelligence Category – MarkTechPost

Meet dots.ocr: A New 1.7B Vision-Language Model that Achieves SOTA Performance on Multilingual Document Parsing Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” dots.ocr is an open-source vision-language transformer model developed for multilingual document layout parsing and optical character recognition (OCR). It performs both layout detection and content recognition within a single architecture, supporting over 100 languages and a wide variety of structured and unstructured document types.… Read More »Meet dots.ocr: A New 1.7B Vision-Language Model that Achieves SOTA Performance on Multilingual Document Parsing Michal Sutter Artificial Intelligence Category – MarkTechPost

NVIDIA AI Just Released the Largest Open-Source Speech AI Dataset and State-of-the-Art Models for European Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Nvidia has taken a major leap in the development of multilingual speech AI, unveiling Granary, the largest open-source speech dataset for European languages, and two state-of-the-art models: Canary-1b-v2 and Parakeet-tdt-0.6b-v3. This release sets a new standard for accessible, high-quality resources in automatic speech recognition… Read More »NVIDIA AI Just Released the Largest Open-Source Speech AI Dataset and State-of-the-Art Models for European Languages Asif Razzaq Artificial Intelligence Category – MarkTechPost