![]() However, using an LLM model such as Llama in an app involves several tasks which many people face and solve alone. We are witnessing a defining moment in computing history, where LLMs are going out of research labs and becoming computing tools for everybody. ![]() Moreover, LLMs have recently emerged as almost general-purpose tools – they can be adapted to new domains as long as we can model our task to work on text or text-like data. The ML ecosystem has matured a lot, with thousands of models that solve a wide variety of problems. I believe that ML is a new way to build software, and I know that many Swift developers want to incorporate AI features in their apps. ![]() Yet, this community soon managed to create top-notch applications that felt at home with the new paradigm. The new devices adopted some unfamiliar decisions in the constraint space, with a combination of power, screen real estate, UI idioms, network access, persistence, and latency that was different to what we were used to before. I started writing apps for iPhones in 2007, when not even APIs or documentation existed. I have a lot of respect for iOS/Mac developers.
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