Artificial intelligence startup Galileo Technologies Inc. today released the results of a benchmark test that compared the accuracy of the industry’s most popular large language models. The ...

Programmers can now use large language models (LLMs) to generate computer code more quickly. However, this only makes programmers' lives easier if that code follows the rules of the programming ...

Answer-prefix Generation (ANSPRE) generates an answer prefix for the prompt question and then retrieves relevant information from the knowledge base like Retrieval-Augmented Generation (RAG) to ...

Large language models (LLMs) can store and recall vast quantities of medical information, but their ability to process this information in rational ways remains variable. A new study led by ...

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 ...

Generative AI benchmark evaluates the ability of large language models to identify and score cybersecurity threats within cloud logs and telemetries. Cloud security vendor Skyhawk has unveiled a new ...

Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different human languages, have become increasingly widespread over the past few ...

Please provide your email address to receive an email when new articles are posted on . Large language models performed better in differential diagnoses, but physicians had better final diagnosis ...

While this can ensure the code adheres to the programming language and is structurally valid, incrementally correcting the code may cause it to drift from the meaning the user intended, hurting its ...