While some business leaders buy large language models, others build their own. Here are five things you need to know.

Apple has published report detailing how its new AI models were trained, optimized, and evaluated. Here are a few interesting ...

Let's say you're reading a story, or playing a game of chess. You may not have noticed, but each step of the way, your mind ...

Foundation models’ flexibility can help a business improve and streamline processes across teams without the cost and effort of developing an AI initiative from scratch.

2022 has seen incredible growth in foundation models — AI models trained on a massive scale — a revolution that began with Google’s BERT in 2018, picked up steam with OpenAI’s GPT-3 in ...

3. Providing Real-Time Customer Support. An intriguing use case for LLMs is real-time customer support, in which the models analyze context, tone and intent to deliver personalized responses.

A foundation model can then be trained, using reams of medical data, to understand how different molecules (i.e. drugs) interact with the human body when treating diseases. Of course, models like ...

Foundation models in molecular biology, leveraging their success in NLP and image generation, are revolutionizing the understanding of multi-level molecular correlations by training on vast datasets ...

Simulating data in particle physics is expensive and not perfectly accurate. To get around this, researchers are now exploring the use of foundation models—large AI models trained in a general, ...