I'm part of a open source AI research team. Current focus is this project: https://github.com/thehunmonkgroup/raspberry-paper-to-cot-pipeline In essence, trying to create a pipeline that extracts high quality CoTs from academic papers. The pipeline itself is solid, but I'm stuck on assessing the quality of the data. In particular, my goal is to fine-tune some 7/8B models via Unsloth and compare their performance to vanilla models using lm-evaluation-harness -- I am, however, quite inexperienced with fine-tuning. I can run a fine-tune, but have no idea how to make any kind of adjustments to the process or the data to improve the quality of the fine-tuned model. So, I'm looking for a consultant to help tutor me on this skill.
Keyword: Project Consultant
Price: $65.0
Machine Learning AI Model Training AI Model Development Hyperparameter Tuning PyTorch
We are seeking a PowerBI expert to provide consultation for some specifics on filters and usage of dax.
View JobDeliver an investment proforma in excel for a real estate developer. WILL ACCEPT A STANDARD PROFORMA YOU HAVE ALREADY PREPARED IF IT MEETS THE FOLLOWING CRITERIA: 1. Excel spreadsheet for income, expenses, and returns for real estate development and construction project...
View JobI have a plot of land I want to determine if development would make sense. Need someone who can look at the zoning to determine what could be built as well as determine if the project would make sense. Possible build to rent as well as a build to sell or a combination o...
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