Microsoft Research has released OptiMind, an AI based system that converts natural language descriptions of complex decision problems into mathematical formulations that optimization solvers ...
In this tutorial, we build a production-grade tabular machine learning pipeline using AutoGluon, taking a real-world mixed-type dataset from raw ingestion through to deployment-ready ...
ACE positions “context engineering” as a first-class alternative to parameter updates. Instead of compressing instructions into short prompts, ACE accumulates and organizes domain-specific tactics ...
Kimi K2, launched by Moonshot AI in July 2025, is a purpose-built, open-source Mixture-of-Experts (MoE) model—1 trillion total parameters, with 32 billion active parameters per token. It’s trained ...
Large Language Models (LLMs) face challenges in capturing complex long-term dependencies and achieving efficient parallelization for large-scale training. Attention-based models have dominated LLM ...
GLM-4.6 is an incremental but material step: a 200K context window, ~15% token reduction on CC-Bench versus GLM-4.5, near-parity task win-rate with Claude Sonnet 4, and immediate availability via Z.ai ...
China continues to set the pace in open-source large-language-model innovation, especially for agentic architectures and deep reasoning. Here is a comprehensive, up-to-date guide to the best Chinese ...
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