#LLM
Curated coverage on «LLM»: releases, research, benchmarks, open-source.

Technical stack of AI agents: LLM, orchestration, vector memory, and tools
Machine Learning Mastery breaks down the components of a modern AI agent: an orchestration framework, memory layers, tools for taking action

HDBSCAN Clustering with LLM Embeddings: How Noise Labels Work
Machine Learning Mastery shows how to group unstructured text by topic with LLM embeddings and HDBSCAN — without manual labeling or a predef

Mistral released OCR 4: bounding boxes, 170 languages, and self-hosted deployment

Claude Code and the Kolmogorov-Smirnov test detected anomalies in a children's olympiad

ChatGPT chat history used for the first time as evidence in a deadly arson case

How to build an AI agent in Google Colab without frameworks: a tutorial with memory and MCP

MIT Technology Review: how the infrastructure layer for AI web data is taking shape
Companies are building AI products, but face a gap: the data they need on the web is blocked or unstructured. A new infrastructure layer is

OpenAI limited the release of GPT-5.6 at the request of the authorities and called it an undesirable precedent
OpenAI scaled back the full release of GPT-5.6 at the government's request, but warned that systematic state control over the release of AI













