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Resources to deepen LLMs understanding for software engineers

11 pointsby frabiaover 1 year ago
I am a FE developer and am overall interested in LLMs (although who isn&#x27;t atm?). I have a broad understanding of how LLMs work and a decent knowledge of software, but I clearly don&#x27;t have the same knowledge an ML engineer would have to understand such a topic.<p>Therefore I find myself wanting to learn more, but I either find basic resources that already cover what I know, or too advanced stuff that is meant for another audience.<p>I was wondering if there is somebody producing content for my segment instead. Ideally somebody is very technical on the topic, but that explains it for a broader audience. To be clear, I don&#x27;t want to become an ML engineer, but I&#x27;m interested in learning about updates and breakthroughs (and why they are such), as well as deeply understanding the challenges, limits, applications, and potential of LLMs.

5 comments

davidajacksonover 1 year ago
LlamaIndex docs, LangChain docs, Youtube vids on intro to neural networks, tutorials on RAG, cross encoders, etc. should keep you busy for 20-40 hours at least
tikkunover 1 year ago
<a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=36195527">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=36195527</a>
coolThingsFirstover 1 year ago
The problem with LLMs is that even if you learn them you can&#x27;t train them. Not enough power in consumer GPUs
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jyuover 1 year ago
this has been a great resource. approachable and great for practitioners. it&#x27;s frequently updated with new papers and techniques <a href="https:&#x2F;&#x2F;www.promptingguide.ai&#x2F;" rel="nofollow">https:&#x2F;&#x2F;www.promptingguide.ai&#x2F;</a>
duckkg5over 1 year ago
sentdex on YouTube has a good library of videos on the subject.