NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain predictable results in the real world. Generally speaking, this variability is due ...

Human evaluation has been the gold standard for assessing the quality and accuracy of large language models (LLMs), especially for open-ended tasks such as creative writing and coding. However, human ...

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 ...