Language models can do a lot. They write, summarize, translate, and call tools. But they're only a small part of what machine learning can do.
Say a customer calls your support line. First, you want to know what they said (speech recognition). Then, you want to decide where to send them (decision). You could hand both to a language model, but there are models built for each that are better, faster, and less expensive.
In our AnyLanguageModel 1.0 recap, we looked at a year of local and hosted models in Swift. With AnyLanguageModel and swift-huggingface now on their 1.x releases, we're extending the same approach to speech and decisions: familiar Swift APIs with a choice of model.
Both packages can download open models from the Hugging Face Hub and run them on device.
