#parallel processing

A Python framework streamlining output from LLMs by parallelizing independent tasks. Compatible with OpenAI and Hugging Face's models, boosting performance up to 10x. Easy PyPI installation enhances integration, minimizing token and parsing challenges, for efficient structured data extraction.

Explore SumGPT for detailed document summarization powered by OpenAI APIs. It offers customizable options for generating tailored responses using models such as gpt-4o and gpt-3.5-turbo. Enjoy secure settings with encrypted cookies and effortless configuration sharing. Ideal for Python enthusiasts, it provides easy setup for local execution with Python 3.11 and OpenAI API keys required.

DistriFusion enhances diffusion model inference on multiple GPUs, leading to significant speedups in high-resolution image synthesis with maintained image quality. It addresses patch fragmentation through advanced communication strategies and is highlighted at CVPR 2024 and integrated with ColossalAI.

Supports .NET 6 for streamlined async task processing with rate limits and parallel execution modes. It offers flexible solutions from individual task handling to concurrent processing to optimize performance and maintain system stability without overwhelming coding overhead.