This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

The goal is to create a model that accepts a sequence of words such as "The man ran through the {blank} door" and then predicts most-likely words to fill in the blank. This article explains how to ...

FunctionGemma is a 270M-parameter model for function calls that runs on phones and NPUs, helping teams cut cloud costs and ship faster.

A new study reveals that the human brain processes spoken language in a sequence that closely mirrors the layered architecture of advanced AI language models. Using electrocorticography data from ...

Forbes contributors publish independent expert analyses and insights. I write about the big picture of artificial intelligence. This article is more than 3 years old. Johannes Gutenberg's printing ...

It wasn’t too long ago that talking to a computer and having it not only understand, but speak back, was confined to the realm of science fiction, like that of the shipboard computers of Star Trek.

Natural language processing opened the door for semantic search on Google. SEOs need to understand the switch to entity-based search because this is the future of Google search. In this article, we’ll ...

Natural language processing (NLP) is a field of study that focuses on enabling computers to understand and interpret human language. NLP involves applying machine learning algorithms to analyze and ...

Natural language processing (or NLP for short) refers to technology that allows computers to understand human language. NLP is what helps computers read, edit and summarize text – as well as enabling ...