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

Large language models (LLMs) like BERT and GPT are driving major advances in artificial intelligence, but their size and ...

The major LLMs today are legal landmines, providing no visibility into training data that may violate copyrights, patents, ...

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 ...

As large language models (LLMs) like ChatGPT continue to advance, user expectations of them keep growing, including with ...

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.

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

Interestingly, the study found a significant decline in AI performance as the difficulty of the questions increased. Despite ...

But now, enterprises are beginning to question if these general-purpose AI models can actually support their specific ...

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 ...

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, 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.