A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

Running large language models at the enterprise level often means sending prompts and data to a managed service in the cloud, much like with consumer use cases. This has worked in the past because ...

Large language models by themselves are less than meets the eye; the moniker “stochastic parrots” isn’t wrong. Connect LLMs to specific data for retrieval-augmented generation (RAG) and you get a more ...

Oct. 12, 2024 — A research team led by the University of Maryland has been nominated for the Association for Computing Machinery’s Gordon Bell Prize. The team is being recognized for developing a ...

DSPy (short for Declarative Self-improving Python) is an open-source Python framework created by researchers at Stanford University. Described as a toolkit for “programming, rather than prompting, ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

Beta testing of national LLM (large language model) is planned to be launched in spring 2026, First Deputy Prime Minister for ...

Machine learning, task automation and robotics are already widely used in business. These and other AI technologies are about to multiply, and we look at how organizations can best take advantage of ...