The Augmented LLM for Swift Developers

Learn how integrating retrieval systems, custom tools, and memory management can transform LLMs into dynamic, context-aware agents.

Large Language Models (LLMs) often create a sense of magic with their articulate and confident responses. However, a closer examination reveals that these outputs can sometimes stray from the truth or even be non-sensical. For instance, Swift developers using tools like ChatGPT or Claude may quickly encounter “hallucinated functions” — code elements tha…