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

Deep research’ AI agents combine large language models with sophisticated reasoning frameworks to conduct in-depth, ...

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

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

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.

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

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 ...

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

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 ...

Using large-language models can save time and enable understanding, but absent a trained user, relying solely on model-produced outputs risks confirmation bias. The more time the military spends on ...