[[{“value”:” The following article comes from two blog posts by Drew Breunig: “How Long Contexts Fail” and “How to Fix Your Contexts.” Managing Your Context is the Key to Successful Agents As frontier model context windows continue to grow,1 with many supporting up to 1… Read More »Working with Contexts Drew Breunig AI & ML – Radar
[[{“value”:” Key Points No flagship, globally competitive, locally developed LLM (such as GPT-4, Claude 3.5, LLaMA 3.1) has yet emerged from Australia. Australian research and commerce currently rely primarily on international LLMs, which are frequently used but have measurable limitations on Australian English and cultural… Read More »Australia’s Large Language Model Landscape: Technical Assessment Michal Sutter Artificial Intelligence Category – MarkTechPost
[[{“value”:” Nous Research has released Hermes 4, a family of open-weight models (14B, 70B, and 405B parameter sizes based on Llama 3.1 checkpoints) that achieves frontier-level performance through pure post-training techniques. Hermes 4 introduces hybrid reasoning – models can toggle between standard responses and explicit… Read More »Nous Research Team Releases Hermes 4: A Family of Open-Weight AI Models with Hybrid Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost
When working with machine learning on structured data, two algorithms often rise to the top of the shortlist: random forests and gradient boosting . When working with machine learning on structured data, two algorithms often rise to the top of the shortlist: random forests and gradient… Read More »How to Decide Between Random Forests and Gradient Boosting Jayita Gulati MachineLearningMastery.com
[[{“value”:” Table of contents What is Agentic RAG? Use Cases and Applications Top Agentic RAG Tools & Frameworks (2025) Open-source frameworks Vendor/managed platforms Key Benefits of Agentic RAG FAQ 1: What makes Agentic RAG different from traditional RAG? FAQ 2: What are the main applications… Read More »What is Agentic RAG? Use Cases and Top Agentic RAG Tools (2025) Michal Sutter Artificial Intelligence Category – MarkTechPost
[[{“value”:” Large language models (LLMs) have reshaped AI reasoning, with parallel thinking and self-consistency methods often cited as pivotal advances. However, these techniques face a fundamental trade-off: sampling multiple reasoning paths boosts accuracy but at a steep computational cost. A team of researchers from Meta… Read More »Meta AI Introduces DeepConf: First AI Method to Achieve 99.9% on AIME 2025 with Open-Source Models Using GPT-OSS-120B Asif Razzaq Artificial Intelligence Category – MarkTechPost
[[{“value”:” Today, we are excited to announce that Mercury and Mercury Coder foundation models (FMs) from Inception Labs are available through Amazon Bedrock Marketplace and Amazon SageMaker JumpStart. With this launch, you can deploy the Mercury FMs to build, experiment, and responsibly scale your generative… Read More »Mercury foundation models from Inception Labs are now available in Amazon Bedrock Marketplace and Amazon SageMaker JumpStart Niithiyn Vijeaswaran Artificial Intelligence
In this article, you will learn: • The fundamental difference between traditional regression, which uses single fixed values for its parameters, and Bayesian regression, which models them as probability distributions. In this article, you will learn: • The fundamental difference between traditional regression, which uses single… Read More »A Gentle Introduction to Bayesian Regression Iván Palomares Carrascosa MachineLearningMastery.com
[[{“value”:” MCP—the Model Context Protocol introduced by Anthropic in November 2024—is an open standard for connecting AI assistants to data sources and development environments. It’s built for a future where every AI assistant is wired directly into your environment, where the model knows what files… Read More »MCP Introduces Deep Integration—and Serious Security Concerns Andrew Stellman AI & ML – Radar
[[{“value”:” Google’s new Regression Language Model (RLM) approach enables Large Language Models (LLMs) to predict industrial system performance directly from raw text data, without relying on complex feature engineering or rigid tabular formats. The Challenge of Industrial System Prediction Predicting performance for large-scale industrial systems—like… Read More »Google AI’s New Regression Language Model (RLM) Framework Enables LLMs to Predict Industrial System Performance Directly from Raw Text Data Michal Sutter Artificial Intelligence Category – MarkTechPost