Quietly, and likely faster than most people expected, local AI models have crossed that threshold from an interesting ...

Adam Stone writes on technology trends from Annapolis, Md., with a focus on government IT, military and first-responder technologies. Large language models, or LLMs, underpin that state and local ...

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As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

It’s safe to say that AI is permeating all aspects of computing. From deep integration into smartphones to CoPilot in your favorite apps — and, of course, the obvious giant in the room, ChatGPT.

It’s now possible to run useful models from the safety and comfort of your own computer. Here’s how. MIT Technology Review’s How To series helps you get things done. Simon Willison has a plan for the ...

What if you could harness the power of innovative AI without relying on cloud services or paying hefty subscription fees? Imagine running a large language model (LLM) directly on your own computer, no ...

Generative AI applications don’t need bigger memory, but smarter forgetting. When building LLM apps, start by shaping working memory. You delete a dependency. ChatGPT acknowledges it. Five responses ...