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!
I put together an overview of fine-tuning recently, focusing on some more practical techniques when you really get into the process. https://david010.medium.com/fine-tuning-llms-practical-techniques-and-helpful-tips-3a169cc62cca
Thanks for this. Super useful
what level of education are you? PhD?
Take a look at TensorGym, which offers practical hands-on ML coding exercises (disclosure: I am building TensorGym)
Good luck with the interview!Thanks! Bombed that interview but will try it for my next one!