Most people interested in generative AI likely already know that Large Language Models (LLMs) — like those behind ChatGPT, Anthropic’s Claude, and Google’s Gemini — are trained on massive datasets: ...
A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any ...
The language we use to describe large language models shapes how we understand their capabilities, limitations, risks, and ...
During my tenure as a machine learning engineer and AI researcher at Hugging Face and now as the CEO of an AI startup, I have watched and participated in the evolution of large language models (LLMs) ...
In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction. Image: MichaelVi/Adobe Stock ...
Without large language models, generative AI as we know it wouldn't exist. But LLMs are also subject to some significant limitations -- including a propensity to hallucinate, extensive demand for ...
7don MSNOpinion
An important note on Silicon Valley AI models (LLMs)
I want to flag your attention to this note written by computer scientist and AI researcher Yoshua Bengio. It ...
Technical and legal jargon make privacy policies for LLMs and their chatbots almost unreadable for most people.
Figure 1: Noam Shazeer, Google Gemini vice president, presented this in his Hot Chips 2025 talk. Noam Shazeer is Google’s vice president of engineering for Gemini, their LLM competitor to ChatGPT. He ...
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