The growth of generative AI (gen AI) has been driven by high-profile large language models (LLMs), such as Open AI's GPT-4o, Google's Gemini, and Anthropic's Claude. However, while these larger models ...
The power of AI models has long been correlated with their size, with models growing to hundreds of billions or trillions of parameters. But very large models come with obvious trade-offs for ...
The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...
If you're looking to build AI agents into your workflows, don't waste the valuable compute power of large language models on these systems. That's the opinion of a group of Nvidia researchers, who ...
When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest ...
Blazor creator Steve Sanderson presented a keynote at the recent NDC London 2025 conference where he previewed the future of .NET application development with smaller AI models and autonomous agents, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback