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DOLMA (Data Optimization and Learning for Model Alignment) is a framework designed to manage large-scale datasets for training and fine-tuning language models efficiently.
Features
- Supports dataset cleaning and filtering for better model training
- Implements deduplication and compression techniques
- Optimized for large-scale NLP dataset processing
- Provides tools for ethical and responsible dataset curation
- Works with popular transformer-based LLM architectures
- Open-source and adaptable for different AI research needs
Project Samples
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow DOLMA
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