Why you should not build decision-making logic using LLM text generationAre you relying entirely on language model prompts and text generation for decision-making within your software, such as "automa ...

Liquid AI d1 returns calibrated probabilities for classification, routing and scoring in 1 call with 0 output tokens.

TEL AVIV, Israel--(BUSINESS WIRE)--In a revolutionary move, Flow has designed data classification powered by Large Language Models (LLMs). With a focus on unstructured data, this technology can ...

According to @_avichawla, Jev-style scoring directly ranks fixed labels, cutting decoding overhead and parsing errors versus structured output and text gen.

Thus far, even AI companies have had trouble coming up with tools that can reliably detect when a piece of writing was generated using a large language model. Now, a group of researchers has ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they’re processing. This evocative phrase comes from a 2021 paper co-authored ...