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Data scientists are increasingly turning to Large Language Models (LLMs) to upskill in deploying machine learning models on hyperscaler platforms like AWS, Google Cloud, and Azure. The debate centers around which LLM – options like Meta AI’s offerings, ChatGPT, or Claude Sonnet 4.5 – provides the most effective learning environment for creating proof-of-concept deployments and understanding related cloud services. A recent Reddit thread ([https://old.reddit.com/r/artificial/comments/1o1e9w3/which_llm_is_best_for_learning_deploying_models/](https://old.reddit.com/r/artificial/comments/1o1e9w3/which_llm_is_best_for_learning_deploying_models/)) highlights the ongoing exploration and comparison of these AI chatbots for this specific application.