请问HN：我应该如何利用10周的时间深入研究人工智能？
为了提供背景信息，我多年来主要在JavaScript领域进行了一些黑客活动，但最近我更多地涉足无代码/低代码领域，尽管我从未认为自己是软件工程师。我接受过学习科学的正式培训，并在产品和变革管理方面有过经验。最近，我意识到自己其实只是一个创意者，而创业/科技/创新工作是我在市场上发挥创造力的最明显途径。
现在，我大量使用大型语言模型（LLMs），有些是通过编程方式使用，但大多数是通过聊天界面使用。我已经清楚地意识到我可以实现更多的创造性输出，但缺点也同样明显：所有内容开始听起来都一样，难以保持上下文，复杂问题缺乏细致的答案等等。
所以，我接下来大约有10周的空闲时间，正在考虑如何深入研究人工智能。我应该更深入地了解人工智能战略的高管视角吗？我应该承担一个技术项目，比如从非结构化创意数据中构建GraphRAG吗？还是应该在特定工具或框架上提高流利度？
我对HN（黑客新闻）能提供的任何建议都感到好奇和感激！
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For context, I have done a lot of hacking mostly in JS throughout the years, but more recently in no/low code land, though I would never consider myself a SWE. I’m formally trained in learning sciences and have experiences from product to change management. More recently, I’ve come to realize I’m just a creative, and entrepreneurial/tech/innovation work has been the most apparent vehicle to be creative at market prices.<p>Now I’ve been using LLMs a ton, some programmatically, but mostly through chat UIs. It’s already clear to me how much more creative output I can achieve, but the drawbacks are also clear: everything starts to sound the same, context is hard to maintain, complex questions lack nuanced answers, etc.<p>So I have basically 10 weeks of free time coming up and am thinking about how to deep dive in to AI. Should I develop more of an executive perspective on AI strategy? Should I take on a technical project like building a GraphRAG from unstructured creative data? Should I develop fluency in specific tools or frameworks?<p>Curious and appreciative of any suggestions that HN can offer!