New to this field need some guidance with my project( marine reasoning) [D]
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一位新开发者正在寻求关于他们首个“海洋推理”项目的指导。他们已经学习了向量空间、场和相关应用，以及Python库，如numpy、scikit-learn、pandas、tensorflow和pytorch。尽管掌握了这些知识，但在将它们应用于项目时却感到无从下手。他们特别希望能获得一个多阶段框架LLM模型的正确PIPELINE，包括从何处开始、相关链接、工具以及后续学习步骤的建议。
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.