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

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 ...

Tech Report reveals a carefully calibrated AI strategy: device-ready models, cloud-scale reasoning, extensive yet responsible ...

Large language models, such as ChatGPT, perform significantly less well in Portuguese than in English despite both languages ...

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 ...

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 ...

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 ...

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 ...