A PhD student at McGill University discovered the benefits of using AI, specifically large language models, to enhance their coding skills for studying organic molecules. While previous attempts at using coding resources had limited success, AI tools like ChatGPT greatly accelerated their learning curve. They highlighted that while LLMs are useful for coding-related inquiries, their utility may diminish for other types of tasks, suggesting that there is an ideal context in which these AI tools can provide meaningful assistance.
Fortunately, high-quality educational resources have never been more plentiful or accessible. I had already casually tried coding in my free time, and a colleague suggested that I try using artificial intelligence, which dramatically accelerated my learning.
The reason I find large language models useful for coding, but unhelpful for many other tasks, is that there's a sweet spot where the information they produce is most likely to be useful for learning.
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