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Standardized templates for structuring multi-turn dialogues into model-specific formats.
Distinct from Conversation Format Normalization: Focuses on applying specific templates for model interaction rather than general normalization of diverse datasets
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This project is a collection of educational resources and technical guides focused on the development and implementation of large language models. It provides a comprehensive curriculum covering transformer architectures, training methods, and deployment strategies. The materials provide detailed instructions for building autonomous agents using reasoning loops and tool integration, as well as guides for fine-tuning models through supervised learning and preference optimization. It also includes tutorials for constructing retrieval augmented generation pipelines and implementing transformer m
Applies templates and control tokens to structure multi-turn dialogues for consistent model interaction.