Large Language Models Can Self Improve: An Implementation Attempt
metalearn.substack.com
Last week, I came across a paper called “Large Language Models Can Self Improve” and decided to implement it. It turns out that I was too naive to realize that there is no way that I could have replicated a fraction of the results given my limited budget, computing power, and access to language models. Although my attempt failed, it was incredibly fruitful. I’ve spent ~ 7 weeks on ML so far, and I am planning on spending more time diving deeper into language models. More and more, I started to realize not only the potential in this field but also the potential for everyone to become a self-taught ML expert. It’s difficult, but it’s far from impossible.
Large Language Models Can Self Improve: An Implementation Attempt
Large Language Models Can Self Improve: An…
Large Language Models Can Self Improve: An Implementation Attempt
Last week, I came across a paper called “Large Language Models Can Self Improve” and decided to implement it. It turns out that I was too naive to realize that there is no way that I could have replicated a fraction of the results given my limited budget, computing power, and access to language models. Although my attempt failed, it was incredibly fruitful. I’ve spent ~ 7 weeks on ML so far, and I am planning on spending more time diving deeper into language models. More and more, I started to realize not only the potential in this field but also the potential for everyone to become a self-taught ML expert. It’s difficult, but it’s far from impossible.