A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...

Small models are doing more than they should ...

If we consider an AI in the form of an LLM as a mathematical object, it represents a weakly structured set of coefficients.

These local LLMs are changing the game in lots of fun ways.

Credit: VentureBeat made with OpenAI ChatGPT-Images-2.0 While many AI open source model providers are pursuing larger and more powerful models, Google is still giving attention to the smaller, more ...

The generative AI boom has driven the cost of memory into the stratosphere, and Google is a key part of that trend. So it’s only fitting that Google should offer some less RAM-hungry local AI models.

Scientists are learning how the brain extracts discrete words from a continuous stream of sounds. UNIDENTIFIED PERSON #1: (Speaking Japanese). SUMMERS: Unless you speak Japanese, that probably sounded ...

Prompt caching has become a vital strategy for managing the rising costs of large language model (LLM) operations. By reusing previously computed data, this approach minimizes redundant computations, ...

The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I examine a newly published approach to ...

Abstract: Quantizing the large language model (LLM) in vision-language models (VLMs) is an effective approach to reducing memory size. However, quantizing only the LLM shifts the memory bottleneck to ...

A new technical paper, “Rethinking Compute Substrates for 3D-Stacked Near-Memory LLM Decoding: Microarchitecture-Scheduling Co-Design,” was published by researchers at University of Edinburgh, Peking ...