Hello folks,
I have an interview call later this week which the work is regarding implementing generative AI within the companies workflow. Using LLMs with finetuning/in-context learning using system logs etc kind of stuff.
I have studied machine learning, worked for few years now as well. Have good understanding of those stuff but never tried fine tuning hands-on. I’m worked majority into computer-vision applications but think that I lagged a bit on the LLM side.
Any suggestions, recommeded papers, courses, videos I could go through?
Thanks!
Good luck with your interview
https://rentry.org/llm-training
Challenges and Applications of Large Language Models
https://github.com/bkitano/llama-from-scratch
https://www.philschmid.de/tags/generativeai
https://web.stanford.edu/class/cs224n/ and 224u, 224v
https://eugeneyan.com/writing/llm-patterns/ (many other good blogposts)
https://huyenchip.com/2023/04/11/llm-engineering.html
https://lilianweng.github.io/
RAG stuff(sentence embedding, vector db):
https://www.pinecone.io/learn/
https://www.sbert.net/
https://haystackconf.com/us2023/keynote/
https://www.latent.space/p/llamaindex#details
An actual saint