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Hesam Sheikh
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Understanding how LLMs operate under the hood is becoming an essential skill in machine learning. Whether you’re choosing the right model for your application, looking for a general knowledge of the field, or following discussions about LLMs and their potential to understand, create, or lead to AGI, the first step is understanding what they are.
In this article, I am going to share my learning experience, and the resources I found most helpful in learning about the fundamentals of LLMs in about 14 days, and how you can do this in a relatively short time. This roadmap could help you learn almost all the essentials:
I am obsessed with going deeper into concepts, even if I already know them. I could already read and understand the research on LLMs, I could build agents or…
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Towards Data Science
ai/ml | rigorously overfitting on a learning curve https://x.com/Hesamation
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