Modern large language models (LLMs) push automation and quality boundaries in business operations by converting natural language into text, insights and code. They help employees free up more time and ...

Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...

The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...

As large language models (LLMs) continue to improve at coding, the benchmarks used to evaluate their performance are steadily becoming less useful. That's because though many LLMs have similar high ...

[Simon Willison] has put together a list of how, exactly, one goes about using a large language models (LLM) to help write code. If you have wondered just what the workflow and techniques look like, ...

The use of large language models (LLMs) as an alternative to search engines and recommendation algorithms is increasing, but early research suggests there is still a high degree of inconsistency and ...

Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform ...

A candid Anthropic report documents how many changes the company has made without telling customers. It’s a cautionary tale ...

Artificial intelligence (AI) is the simulation of human intelligence in machines, enabling systems to learn from data, recognize patterns, and make decisions. These decisions can include predicting ...

Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical ...