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Ask HN: How to Learn LLM Fundamentals
As a Software Engineer that is interested in learning LLM fundamentals, what is your recommended course of action? Are there any courses or curricula you would recommend?
- hislaziness 3y agoI really liked this series. https://karpathy.ai/zero-to-hero.html https://karpathy.ai/zero-to-hero.html
- quickthrower2 3y agoThanks that series looks quite fun to do
- AETackaberry 3y agoI am definitely planning to start with this series, seems like a no-brainer! The part I'm unsure of is what next? Seems like diving into papers might be a decent leap. Who knows, maybe GPT-4 can help me bridge the gap
- hislaziness 3y agoPapers would be good next step. The concept and the algorithms do not seem very complex. The training and fine tuning is what needs effort and infrastructure.
- seydor 3y agoThere s this guy who has made in depth videos about transformers https://www.youtube.com/watch?v=O3xbVmpdJwU https://www.youtube.com/watch?v=O3xbVmpdJwU
- is_true 3y agoI think this blog posts is nice overview to help you go deeper in the topics mentioned: https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-...
- jytechdevops 3y agoWhat a coincidence, I actually ran across this github repo for LLM fundamentals today: https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341c8d https://gist.github.com/rain-1/eebd5e5eb2784feecf450324e3341... gl on your journey
- TroyZ 3y agoFor a high level overview of transformers/GPT, you can check out this article: https://medium.com/design-bootcamp/how-chatgpt-really-works-explained-for-non-technical-people-71efb078a5c9 https://medium.com/design-bootcamp/how-chatgpt-really-works-... The article provides references to the original papers and other articles explaining the subject, which can be great sources to dive deeper.
- felipelalli 3y agohttp://www.iasylum.net/writings/2023-03-29-if-you-are-curious-about-LLMs.html http://www.iasylum.net/writings/2023-03-29-if-you-are-curiou...
- bfg_damien 3y agoHere are a few resources that might help get you started: 1. A thread explaining the internal working of transformers: https://twitter.com/hippopedoid/status/1641432291149848576?s=20 https://twitter.com/hippopedoid/status/1641432291149848576?s... 2. Paper by DeepMind which provides pseudo-code for important algorithms for Transformer models: https://arxiv.org/pdf/2207.09238.pdf https://arxiv.org/pdf/2207.09238.pdf 3. Another thread specifically on large language models: https://twitter.com/cwolferesearch/status/1640446111348555776?s=20 https://twitter.com/cwolferesearch/status/164044611134855577... Once again these are not courses per se, but do provide intuitive explanations for how transformers work. There is also the nanoGPT series of videos by Karpathy on youtube. First video here: https://www.youtube.com/watch?v=kCc8FmEb1nY https://www.youtube.com/watch?v=kCc8FmEb1nY