It is an increasingly familiar experience. A request for help to a large language model (LLM) such as OpenAI’s ChatGPT is promptly met by a response that is confident, coherent and just plain wrong.

With powerful video generation tools now in the hands of more people than ever, let's take a look at how they work. MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...

As open-weight models catch up on leaderboards and benchmark reports, one of the biggest considerations is how to manage AI ...

What if you could create intricate, professional-grade 3D printable designs without years of sculpting experience or expensive software? It might sound too good to be true, but AI is transforming 3D ...

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The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it focused on the fact that a relatively small and unknown company said ...

For large language models (LLMs) like ChatGPT, accuracy often means complexity. To be able to make good predictions, ChatGPT must deeply understand the concepts and features that are associated with ...

Type in a question to ChatGPT and an answer will materialise. Put a prompt into DALL-E 3 and an image will emerge. Click on TikTok’s “for you” page and you will be fed videos to your taste. Ask Siri ...

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

Although the entire AI boom was triggered by just one ChatGPT model, a lot has changed since 2022. New models have been released, old models have been replaced, updates roll out and roll back again ...

OpenAI is releasing a significantly expanded version of its Model Spec, a document that defines how its AI models should behave — and is making it free for anyone to use or modify. The team also ...