Large language models can train smaller language models and uplevel them quickly. Stanford researchers trained Alpaca 7B, a model fine-tuned from the LLaMA 7B model on 52K instruction-following ...

Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

Taking this to the extreme, while large language models (LLMs) like GPT are running out of data to train on and having difficulty scaling up, [DaveBben] is experimenting with scaling down instead ...

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today.

Across the tech ecosystem, organizations are coalescing around a shared vision: The smarter future of AI lies at the edge.

Large Language Model Operations (LLMOps) Specialization, by Duke University. Duke University’s specialized course teaches students about developing, managing, and optimizing LLMs across multiple ...

Mass General Brigham researchers found that targeted prompts reduced the likelihood of stigmatizing language in LLMs when ...

Large language models, natural language processing and more in simple terms. There are two ways to get a person to do something – tell them to do it or hope they do it themselves.

Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While suggestions that people eat rocks are funny to you and me, in the case ...

If large language models are able to generate their own training data and use it to continue self-improving, this could render irrelevant the looming data shortage. It would represent a mind ...