Hackaday

Peering Into The Black Box Of Large Language Models

Large Language Models (LLMs) can produce extremely human-like communication, but their inner workings are something of a mystery. Not a mystery in the sense that we don’t know how an LLM works, but a ...
No Jitter

Learning to Live With Your UCaaS LLM, Part 1

(Author’s note: this article in its entirety was written without the help of generative AI (Gen AI) in any way, nor was AI used to generate any graphics, either.) Leveraging the large language models ...
Science Daily

A new neural network makes decisions like a human would

Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network ...
Digital Journal

Neural networks, machine learning? Nobel-winning AI science explained

The Nobel Prize in Physics was awarded to two scientists for discoveries that laid the groundwork for the artificial intelligence. British-Canadian Geoffrey Hinton, known as a 'godfather of AI', and ...
Hosted on MSN

Using geometry and physics to explain feature learning in deep neural networks

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...
SiliconANGLE

Google updates Gemini 2.5 LLM series with new entry-level model, pricing changes

Google LLC today introduced a new large language model, Gemini 2.5 Flash-Lite, that can process prompts faster and more cost-efficiently than its predecessor. The algorithm is rolling out as part of a ...