After months of testing local LLMs, I found that productivity depends on tools, not just models.

Slow and steady wins the race.

In order for a chatbot to become more intelligent, and thus more useful to the end-user, it needs to assimilate data continuously. This process is known as “training.” The problem is that many AI ...

Personalized interactions have been discussed as beneficial for learning for decades. Now, with the rise of generative artificial intelligence (GenAI), personalized artificial human-like conversations ...

Individuals now engage with agentic AI chatbots to perform a growing number of tasks. They can help a person shop for a new ...

Recent studies have found that physicians with access to a large language model (LLM) chatbot during clinical reasoning tests may score no better to worse compared to the same chatbot performing alone ...

As people increasingly rely on AI-powered chatbots to look up basic facts about the world, a new Yale study shows that those interactions can influence users’ social and political opinions. Prior ...

Meta has patented a hypothetical LLM that would continue posting for (and as) you, long after you're dead. Granted in late December, the patent outlines an AI that would "simulate" a person's social ...

Chatbots fueled by artificial intelligence bear disclaimers saying they cannot dispense medical advice or diagnose conditions ...

The Post tested ChatGPT, Gemini and other chatbots with political questions, and the results show that the AI tools have ...

AI anthropomorphism is a documented crisis in LLM science: a new Microsoft paper found more than half of 300 studies assumed ...