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 ...

If you’ve been thinking of getting into self-hosting generative AI, but don’t have a big budget for hardware, you might want ...

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

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 ...

Large Language Models (LLMs) such as GPT-4, Gemini-Pro, Llama 2, and medical-domain-tuned variants like Med-PaLM 2 have ...

Large language models are becoming powerful tools for simulating human behavior, studying opinion dynamics, and exploring social phenomena at scale. Researchers are using LLM-based agents to model ...

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 ...