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 ...

Open source dominates software technologies; AI is no exception. Hugging Face now has 4 million AI models in its library. Small language models and open-source AI hardware are emerging. You could ...

Small language models shine for domain-specific or specialized use cases, while making it easier for enterprises to balance performance, cost, and security concerns. Since ChatGPT arrived in late 2022 ...

Fine-tuning AI models can be a complex and resource-intensive process, but with the right strategies and techniques, you can optimize it effectively to achieve superior results. This comprehensive ...

Large language models work well because they’re so large. The latest models from OpenAI, Meta and DeepSeek use hundreds of billions of “parameters” — the adjustable knobs that determine connections ...

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 ...

In the world of AI, what might be called “small language models” have been growing in popularity recently because they can be run on a local device instead of requiring data center-grade computers in ...

The 3.8-billion-parameter Phi-3 Mini is small enough to run on mobile platforms and rivals the performance of models such as GPT-3.5, Microsoft’s researchers said. Microsoft has introduced a new ...