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A nimble and innovative implementation of the Direct Preference Optimization (DPO) algorithm with Causal Transformer and LSTM model, inspired by the paper of DPO in fine-tuning unsupervised Languag…
A PyTorch-based featuring an efficiently implemented Transformer model. The core of our attention mechanisms is powered by torch.einsum, ensuring clean, readable, and highly optimized tensor operat…
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow