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Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
A major difference between LLMs and LTMs is the type of data they’re able to synthesize and use. LLMs use unstructured data—think text, social media posts, emails, etc. LTMs, on the other hand, can ...
This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box. Dedicated desktop applications for agentic AI make it easier for relatively ...
Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...
They’re the mysterious numbers that make your favorite AI models tick. What are they and what do they do? MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...
The rise of generative AI is reshaping not just how we work, but how we think. In our experience, many leaders focus on productivity in generative AI deployment. Generative AI will indeed make many ...
Right on the heels of announcing Nova Forge, a service to train custom Nova AI models, Amazon Web Services (AWS) announced more tools for enterprise customers to create their own frontier models. AWS ...
Generative AI has become deeply integrated into daily life. People increasingly rely on it to think, create, and make decisions. Yet, as organizations scale their use of generative AI tools, a quiet ...
Are tech companies on the verge of creating thinking machines with their tremendous AI models, as top executives claim they are? Not according to one expert. We humans tend to associate language with ...
Some helpful parenting tips: it is very easy to accidentally teach your children lessons you did not intend to pass on. If you accept bad behaviour some of the time, you end up with bad behaviour all ...
If you ask an LLM to explain its own reasoning process, it may well simply confabulate a plausible-sounding explanation for its actions based on text found in its training data. To get around this ...
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