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Awesome GitHub RepositoriesModel Completion Generation
Creating training pairs by using LLMs to generate responses for a set of prompts.
Distinct from Model Completion Requests: Unlike completion services for users, this is for generating the training data itself.
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Awesome Model Completion Generation GitHub Repositories
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- oumi-ai/oumi
oumi-ai/oumi
8,858Auf GitHub ansehenOumi is a comprehensive large language model development platform designed for synthesizing data, fine-tuning models, and running performance evaluations. It serves as a unified environment for the entire model lifecycle, encompassing a training and fine-tuning suite, an evaluation framework, and tools for synthetic data generation and model distillation. The platform is distinguished by its iterative, failure-driven synthesis approach, which analyzes model weaknesses during evaluation to generate targeted training data. It utilizes an LLM-based judge framework to programmatically score respo
Produces responses for prompt-only datasets using specified models or personas to create training pairs.
Pythondpoevaluationfine-tuning
