There is a particular kind of irony that the legal profession rarely gets to witness in such pristine form. In May 2025, Latham & Watkins a firm that routinely bills over $2,000 an hour for its ...
There’s a pattern playing out inside almost every engineering organization right now. A developer installs GitHub Copilot to ship code faster. A data analyst starts querying a new LLM tool for ...
In this tutorial, we build a pipeline on Phi-4-mini to explore how a compact yet highly capable language model can handle a full range of modern LLM workflows within a single notebook. We begin by ...
Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have followed — but the gap between a quantum processor running in a ...
Alibaba's Qwen team just released Qwen3.6-35B-A3B under Apache 2.0 — a multimodal, agentic coding powerhouse that activates only 3 billion of its 35 billion parameters at inference time. A Mixture of ...
The dominant recipe for building better language models has not changed much since the Chinchilla era: spend more FLOPs, add more parameters, train on more tokens. But as inference deployments consume ...
The model introduces Temporal Audio Chain-of-Thought — a reasoning paradigm that anchors intermediate reasoning steps to timestamps in long audio — and outperforms Gemini 2.5 Pro on long-audio ...
In this tutorial, we build a complete and practical Crawl4AI workflow and explore how modern web crawling goes far beyond simply downloading page HTML. We set up the full environment, configure ...
MiniMax, the AI research company behind the MiniMax omni-modal model stack, has released MMX-CLI — Node.js-based command-line interface that exposes the MiniMax AI platform’s full suite of generative ...
Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. TensorRT exists, ...
Writing a research paper is brutal. Even after the experiments are done, a researcher still faces weeks of translating messy lab notes, scattered results tables, and half-formed ideas into a polished, ...
The model achieves state-of-the-art on SWE-Bench Pro, sustains autonomous execution for up to 8 hours, and ships as both an open-weight release and an API-accessible service. Before diving into what ...
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