@ballardw Common examples of LLMs are ChatGPT (GPT=Generative pre-trained transformer), Anthronic Claude, Google Gemini, and Meta Llama. The name LLaMa itself is a sort of pun of LLM. People often use LLMs to generate code, autocomplete when coding, comment code, and answer questions about code. Why does it matter? Many coders have their favorite coding LLMs and favorite coding tools (e.g., Visual Studio), and an important part of my suggestion is to let coders continue to use their favorite LLMs and favorite coding tools for SAS. They may not want to be locked in to SAS Viya and SAS's LLM. Widespread support for SAS across LLMs would continue to help SAS thrive (e.g., increasing productivity of seasoned SAS coding, making it easier to onboard new staff to SAS), so at a deeper level, my goal is for SAS to not decline as a language or as a company. It's a complex issue, but it's a layer of protection against users turning to alternatives. It's relevant as LLM-driven coding is at the beginning of a boom, while SAS is on the sidelines. An important TLA here is SAS: Semicolon, Always Semicolon.... j/k 🤣
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