2 个仓库
Tools for converting external API requests into standardized internal structures for multimodal processing.
Distinct from API Request Handling: Distinct from general API request handling: focuses on multimodal data standardization and chat template application.
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This project provides a comprehensive technical guide and framework for engineering large-scale machine learning systems. It covers the full lifecycle of model development, focusing on the infrastructure and computational principles required to build, train, and serve generative AI models across distributed GPU clusters. The repository distinguishes itself by offering deep-dive tutorials and implementation strategies for complex system challenges. It emphasizes high-performance architectural primitives, such as collective communication orchestration, distributed tensor sharding, and static gr
Converts external API requests into internal data structures while applying chat templates and standardizing media placeholders.
Routes multimodal and image-generation requests to backends and normalizes responses.