Anthropic launched Claude Design on April 17, 2026, a research preview under Anthropic Labs powered by Claude Opus 4.7's vision capability that generates interactive prototypes with working navigation…
A guide from an unnamed data science source lists seven essential machine learning algorithms that remain relevant despite the rise of large language models and generative AI, arguing that simpler mod…
Professionals should focus on clear business goals, data quality, simple models, careful validation, realistic costs, and human judgment rather than chasing the latest technology, according to Iavor I…
A new GitHub repository by ChaitanyaK77 provides a step-by-step Jupyter Notebook guide for training a small language model from scratch on a single consumer-grade GPU using the TinyStories dataset, co…
Practical constraint decoding, also known as structured generation, forces large language models to generate outputs that strictly follow a specified data schema, grammar, or regex by masking logits a…
A new generation of AI-powered data tools is making data cleaning, analysis, and visualization faster and easier in 2026, according to a review of five top tools. Deepnote offers an AI-powered collabo…
KimiClaw, a cloud-hosted AI agent platform from Moonshot AI, aims to make the OpenClaw open-source framework accessible without local infrastructure burdens, but stripping away local control may dimin…
Close to 79% of companies have adopted AI agents in some form, but only about 11% have anything running in production, according to a 2026 statistics roundup from Gartner, McKinsey, and IDC data. A ne…
KDnuggets' weekly roundup for July 20, 2026, features top MCP servers for agentic development, a free 5-day Agentic AI course from Kaggle and Google, and GraphEval for hallucination evaluation. The ro…
Amazon researchers have developed GraphEval, a framework that uses knowledge graphs to detect hallucinations in large language model (LLM) outputs. The method constructs semantic triples from a model'…
Anthropic's Model Context Protocol (MCP), introduced in November 2024 and donated to the Agentic AI Foundation under the Linux Foundation in December 2025, has seen its official SDKs reach 97 million …
A new analysis identifies seven cheaper, faster alternatives to Anthropic's Claude Code for CLI agentic coding, including open-source tools OpenCode, Pi, Factory Droid, and Codex CLI from OpenAI, whic…
Google and Kaggle's free 5-day AI agents course, which drew more than 1.5 million sign-ups and over 11,000 capstone submissions in November 2025, is now available as a self-paced Kaggle Learn Guide. T…
The Rundown AI, TLDR AI, and Superhuman AI lead a curated list of 10 newsletters that help data scientists, machine learning engineers, and tech professionals stay ahead in AI by providing daily news,…
The Qwythos-9B-Claude-Mythos-5-1M reasoning and coding model can be run locally on consumer hardware using llama.cpp, with an RTX 4070 Ti Super handling the Q6_K MTP quantization at 100K context, and …
A five-course free roadmap from Harvard, Google, and other organizations teaches AI from classical algorithms to training LLMs from scratch, requiring only basic Python knowledge. The curriculum begin…
Anthropic's Claude Code CLI ships with sensible defaults, but sustained agentic work requires manual configuration of three key files—CLAUDE.md, project-level .claude/ settings, and global ~/.claude/ …
Anthropic's Model Context Protocol (MCP), adopted by OpenAI, Google, and Microsoft through 2025 and donated to a Linux Foundation body, has become the standard for connecting AI agents to external too…
The European Commission's latest draft guidelines clarify how organizations should classify high-risk AI systems under Article 6 of the EU AI Act, emphasizing that an AI system's intended purpose—how …
KDnuggets' weekly roundup for July 13, 2026, features articles on Python design patterns, LLM optimization, SQL portfolio projects, Git worktrees for AI development, structured generation with Outline…