New to this field need some guidance with my project( marine reasoning) [D]
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A new developer is seeking guidance for their first project, which involves "marine reasoning." They have learned about vector space, fields, and applications, along with Python libraries like numpy, scikit-learn, pandas, tensorflow, and pytorch. Despite this knowledge, they feel clueless about applying it to their project. They are specifically looking for a proper PIPELINE for a multi-stage framework LLM model, including where to start, relevant links, tools, and further learning steps.
learnt about vector space, fields, and applications whatever i could then went on with learning python libraries like numpy, scikit learn, pandas, also had a bit of knowledge about tensorflow and how to use pytorch but now i stand so clueless when i try to apply my knowledge in my first project.
So idk why but i decided somehow that i wanna make a project in "marine reasoning " and i feel clueless about is it just supervised learning reinforcement learning or mix of both and how much data should i acquire or how do i cleanse my data is the data even enough what should be my pipeline what are the steps i dont have any guidance.
I just wish someone who has keen knowledge in multi stage framework LLMs can give me the proper PIPELINE for the model and where should i start with, with proper links and tools also any inputs from anyone's side would be highly appreciated. ALSO IF ANYONE CAN GUIDE ME THRU ALL THE STEPS OR WHAT I NEED TO LEARN MORE.