will this speed up ollama project?

could you provide some directions on how to fine tune the model for coding? i have a ui framework in python that i would like to feed it the docs and some github repos code.

how would the dataset look like for that? should i be formulating different uses cases on the framework as if the user is asking?

in addition, do i need to provide standard python code or do those base modles have code in them already?

most all of what you wrote can be done with python out of the box

Remember when you finish for the day that if you don’t delete the pod (and any storage you created) your credit balance will reduce while you are sleeping. But at least it can’t go negative and send you a big bill like evil AWS.

do they charge per hour like a parking meter or only when the pod is used

what you are looking for is OCR. then feed the LLM to the markdown

i think its a great accomplishment and should be commend. congrats OP if its your project

cause the majority suck very bad compared to chatgpt

how much does it cost to do these fine tunes on RunPod? How much compute time is used

Lik $1000+?

Given their recently published paper, they probably figured out a way to get GPT to learn their own reward function somehow.

you just need 2 GPTs talking with each other. the seconds acts as a critic and guides the first

i dont understand where is this supposed to run? at a cloud provider? so this script is instlaled there, and it handles the distribution?

i read the docs for the site and i must say these questions where not answered. perhaps a ‘what is burla’

Why? Are you a mega fan boy?

The irony now is that Grok will have the latest info on this as people are tweeting about it

Right after President Xi visit…

can someone explain what is meant by this

Generate your dataset with this, plus the Orca system prompts.

how do you reboot it after the coolab dies

how long does it stay alive/online?

but what would be the proper formatting example for code? just paste in a bunch of files from a repo? or should be more a cheatsheet format?

please do something like this, or provide detailed example, on how an open source framework api can be added to a coder LLM.

how do we prepare the data with code sample, docs, so the coder LLM learns it can can do code completions and answer documentation?

how can this be used for code generation with a github repo and its documentation?

what is this script supposed to output?