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Welcome to the Guide for LLM Evaluation and Ranking (RLHF) on Datasaur
Perfecting large language models (LLMs) requires rigorous assessment, and that's where our Datasaur projects come into play. This guide simplifies the task of evaluating and ranking LLM outputs, helping users fine-tune the intelligence of these models with precision.
Here, we'll walk you through the essentials: setting up your projects, navigating the labeling process, reviewing your labeler's input, and exporting data for LLM enhancement. If you're not yet set up with access to our LLM project type, a swift message to our support team ([email protected]) will get you started for free!
Dive into this concise manual to leverage Datasaur's features for your LLM's development, and make a tangible impact on the future of machine learning.
Last modified 27d ago