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 ...

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

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

Researchers at Stanford are setting up a pilot project that uses the power of large language models to help clinicians handle ...

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.

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 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 ...

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

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 ...