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PADDLEPADDLE
Baidu's deep learning platform with native LLM and NLP support
Apache-2.0
ABOUT
Deep learning frameworks like TensorFlow and PyTorch are general-purpose, but training large language models requires specialized tooling for distributed training, mixed precision, and memory optimization. PaddlePaddle provides a complete LLM development stack: PaddleNLP offers pre-built model architectures, training recipes, and distributed training support out of the box. Its dynamic-to-static compiler converts Python training code into optimized static graphs for production inference, bridging the gap between research flexibility and deployment performance.
INSTALL
pip install paddlepaddleINTEGRATION GUIDE
1. Train and fine-tune large language models using PaddleNLP's pre-built architectures and recipes
2. Deploy LLMs for production inference with the compiled static graph for maximum throughput
3. Build NLP pipelines for text classification, named entity recognition, and machine translation
4. Use the distributed training toolkit to scale model training across multiple GPUs or nodes
5. Leverage PaddleCloud for end-to-end ML workflows from data processing to model serving
TAGS
pythondeep-learningnlpllmtraininginferencebaiduframework