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 ...
Consumers have never had more access to health information. Wearables, such as fitness trackers, smartwatches, and smart rings can track sleep, heart rate, and activity with increasing sophistication.
What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...
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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) ...
Before forcing myself to enter the tech world, I found it very intimidating. Sure, my generation practically grew up with iPhones, giving us an advantage at intuitively navigating new interfaces — ...
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Bring your own brain? Why local LLMs are taking off
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 ...
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 ...
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 ...
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Running local LLMs every day for five months broke every assumption I had about them
It’s worth it, with caveats ...
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 ...
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 ...
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