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​One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting). One of the most widespread machine learning techniques is XGBoost (Extreme Gradient Boosting).  Read More  

​[[{“value”:” Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that slashes the amount of required training data by up to 10,000x, while maintaining or even improving model quality. This approach centers on active learning and focusing expert labeling efforts on… Read More »From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Introduction Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive applications. Retrieval-Augmented Generation (RAG) frameworks attempt to solve this by incorporating external knowledge into language generation. However, traditional RAG… Read More »Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Smaller Models with Smarter Performance and 256K Context Support Alibaba’s Qwen team has introduced two powerful additions to its small language model lineup: Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507. Despite having only 4 billion parameters, these models deliver exceptional capabilities across general-purpose and expert-level tasks while running… Read More »Alibaba Qwen Unveils Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507: Refreshing the Importance of Small Language Models Michal Sutter Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Multimodal reasoning, where models integrate and interpret information from multiple sources such as text, images, and diagrams, is a frontier challenge in AI. VL-Cogito is a state-of-the-art Multimodal Large Language Model (MLLM) proposed by DAMO Academy (Alibaba Group) and partners, introducing a robust reinforcement… Read More »VL-Cogito: Advancing Multimodal Reasoning with Progressive Curriculum Reinforcement Learning Nikhil Artificial Intelligence Category – MarkTechPost

​The foundational instructions that govern the operation and user/model interaction of language models (also known as system prompts) are able to offer insights into how we — as users, AI practitioners, and developers — can optimize our interactions, approach future model advancements, and develop useful… Read More »Grok’s Share and Claude’s Leak: 5 Things We Can Learn From System Prompts Matthew Mayo MachineLearningMastery.com