Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a ...

LLMs and their influence on traffic to a brand’s website are a major topic in our client conversations. Everyone wants to know what’s happening, how they can do better, and what the best practices are ...

The challenge of wrangling a deep learning model is often understanding why it does what it does: Whether it’s xAI’s repeated struggle sessions to fine-tune Grok’s odd politics, ChatGPT’s struggles ...

In this tutorial, we build a robust, multi-layered safety filter designed to defend large language models against adaptive and paraphrased attacks. We combine semantic similarity analysis, rule-based ...

One of the biggest SEO challenges right now isn’t AI. It’s the irresponsible misinformation surrounding it. SEO isn’t dying — it’s evolving. That means it’s on us to understand how the industry is ...

Many have marveled at how similarly ChatGPT can write like humans. But today’s computer scientists are posing a claim that goes even further: The large language models that power artificial ...

There’s been a lot of talk of an AI bubble lately, especially regarding circular funding involving companies like OpenAI and Anthropic—but Clem Delangue, CEO of machine-learning resources hub Hugging ...

Hugging Face co-founder and CEO Clem Delangue says we’re not in an AI bubble, but an “LLM bubble” — and it may be poised to pop. At an Axios event on Tuesday, the entrepreneur behind the popular AI ...

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model's (LLM) reasoning and even intervene to fix its ...