Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and automation, but our experience shows they are not yet suited for the specific, high-stakes ...

Forrester predicts that operational support use cases for large language models (LLMs) will develop rapidly. LLM integration with action components creates fully autonomous workplace assistants (AWAs) ...

Running AIs on your own machine lets you stick it to the man and save some cash in the process Feature After a decade or two of the cloud, we're used to paying for our computing capability by the ...

LLMs have delivered real gains, but their momentum masks an uncomfortable truth: More data, more chips and bigger context windows don’t fix what these systems lack—persistent memory, grounded ...

Private data stays local, smarter AI comes later.

Large Language Models (LLMs) have taken the world by storm since the 2017 Transformers paper, but pushing them to the edge has proved problematic. Just this year, Google had to revise its plans to ...

Large language models, a form of artificial intelligence, are generating a lot of hype in healthcare circles, primarily because of their potential to transform and improve various aspects of ...

Give a large language model broad access to data and it becomes the perfect insider threat, operating at machine speed and without human judgment. Large language models (LLMs) have quickly evolved ...

Somewhere between the third and fourth exchange with a capable chatbot, we may notice something slightly strange—though, increasingly, familiar. The conversation has a quality that wasn't quite ...

Large language models (LLMs) like ChatGPT and Claude are best known for their writing abilities, drafting ad copy, summarizing reports, and helping brainstorm blog content. However, most marketers ...