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Awesome GitHub RepositoriesAsynchronous Batch Processing
Executes large volumes of generative model requests as background jobs to optimize throughput and efficiency.
Distinct from Large Scale Dataset Processing: Distinct from Large Scale Dataset Processing: focuses on asynchronous job orchestration for model inference rather than parallel data loading for training.
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Awesome Asynchronous Batch Processing GitHub Repositories
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- googleapis/python-genai
googleapis/python-genai
3,819عرض على GitHubThis project is a Python software development kit and framework for building applications that integrate with large language models. It serves as a multimodal content generator and vector embedding library, enabling the production and editing of text, images, audio, and video. The toolkit provides specialized capabilities for adapting base models through supervised and reinforcement training. It further distinguishes itself by offering tools for orchestrating complex workflows, including stateful chat sessions, the enforcement of structured output via schemas, and the integration of external
Provides high-throughput inference by processing large volumes of requests as asynchronous background jobs.
Python
