The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...

SubQ by Subquadratic claims a 12 million token context window with linear scaling. Here is what it means for RAG, coding ...

As LLMs hit the limits of scale and cost, specialized SLMs are emerging as the faster, cheaper, and more private workhorse ...

Claude Sonnet 4, and Gemini 2.5 Pro dynamically — no hardcoded pipelines, fewer tokens than competing frameworks.

Reading a book about bowling is not the same as actually bowling. If that resonates with you and you want to learn more about ...

Commercial AI models were used to help plan and conduct cyber-attack against operational technology of a water and drainage ...

As LLMs grow more capable, real-world AI deployments depend on a complex supply chain of data companies and infrastructure ...

Discover how to audit and prune your LLM harness to achieve up to six times better performance without changing models.

In a recent survey from the Digital Education Council, a global alliance of universities and industry representatives focused on education innovation, the majority of students (86%) said they use ...

A hands-on workshop where you write every piece of a GPT training pipeline yourself, understanding what each component does and why. Andrej Karpathy's nanoGPT was my first real exposure to LLMs and ...