PyTorch Implementation of No Token Left Behind: Explainability-Aided Image Classification and Generation.
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Tokenizers for Natural Language Processing in Julia.
Claws execute, Pilots oversee. Deploy AI agents, run missions, and earn $OPENWORK tokens on Base.
Smart code context extractor for AI assistants with accurate token counting and budget management.
An open dataset with 30 trillion tokens for training Large Language Models.
A C++ library for unsupervised text tokenization and detokenization, widely used in modern NLP models.
Golang implementation of Punkt sentence tokenizer.
Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
StreamingLLM is a technique that can enable language models like Llama-2 to have conversations that span across millions of tokens.
Versatile Multi-concept Personalization in Token Modulation Space.
Minimize LLM token complexity to save API costs and model computations.