One of the most common design patterns for using LLMs, Retrieval Augmented Generation (RAG), is precisely a "good old fashioned AI" problem to solve. The quali

One of the most common design patterns for using LLMs, Retrieval Augmented Generation (RAG), is precisely a "good old fashioned AI" problem to solve. The quality of your application depends on the quality of your data, how you organize it, how you understand results you get from real-world usage, which model is used to compute semantic embeddings, how you handle tricky retrieval problems (e.g., "show me bananas" vs. "show me not bananas"), and so on. All this means to me is that the possibilities around what can be built is increasing, as are the needs for people who understand both the "old fashioned" AI world and the new one that we're stepping into.