Machine Learning

1 readers

1 users here now

Community Rules:

Be nice. No offensive behavior, insults or attacks: we encourage a diverse community in which members feel safe and have a voice.
Make your post clear and comprehensive: posts that lack insight or effort will be removed. (ex: questions which are easily googled)
Beginner or career related questions go elsewhere. This community is focused in discussion of research and new projects that advance the state-of-the-art.
Limit self-promotion. Comments and posts should be first and foremost about topics of interest to ML observers and practitioners. Limited self-promotion is tolerated, but the sub is not here as merely a source for free advertisement. Such posts will be removed at the discretion of the mods.

founded 1 year ago

MODERATORS

communick@academy.garden

[P] I got a ML internship and have no idea what to do (alien.top)

submitted 1 year ago by danielwilu2525@alien.top to c/machinelearning@academy.garden

19 comments fedilink hide all child comments

I’ve got research background in ML but never actually developed any models as it was all theoretical work. I got lucky during the interview stage for this role as my research impressed them. My project involves fine-tuning a GPT-3 model for a specific task and host the model on a website. Does anyone have any tips on how to go about learning what I need to know to do this? Also what should I consider when curating my custom dataset when fine-tuning the model? I really want this to be a learning experience for me.

you are viewing a single comment's thread
view the rest of the comments

[–] Competitive_Drive_14@alien.top 1 points 1 year ago

You should check out the Low Rank Adaptation (LoRA) repo and try running the example for finetuning gpt2 small. Once you got than running you could use the library for finetuning other larger open source models on cloud (check out SkyPilot for this)