Foundation models—AI systems trained on expansive datasets that can perform a wide range of tasks—and large language models—a subset of foundation models capable of processing and generating humanlike ...
Modern large language models (LLMs) push automation and quality boundaries in business operations by converting natural language into text, insights and code. They help employees free up more time and ...
Leaders might assume that LLMs are able to offer a kind of unbiased, outside perspective. But new research found that leading ...
Large language models (LLMs) are changing how people search for information online, challenging traditional search engines and reshaping how brands connect with their audiences. As LLMs like ChatGPT ...
Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind. The major builders of large language ...
As I fall farther down the large language model (LLM) rabbit hole, I'm becoming more interested in how LLMs may be redefining not just what we know but also how we know it. These models—trained on ...
If you’ve used ChatGPT Search or Perplexity, you know that being able to search the web and see citations inline greatly improves these AI chatbots. Results are better when they involve timely ...
Large language models are no longer just productivity tools or coding assistants; they are rapidly becoming force multipliers for cybercrime. As guardrails on mainstream systems tighten, a parallel ...
In the complexity of human cognition, the hippocampus stands as a central player, orchestrating more than just the storage of memories. It is a master of inference—a cognitive ability that allows us ...
If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a pre-print study out of the ...
Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly ...