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RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
A PyTorch-based Speech Toolkit
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.