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Training Sparse Autoencoders on Language Models
Saul : Declarative Learning-Based Programming
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Training Sparse Autoencoders on Language Models
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
Low-code framework for building custom LLMs, neural networks, and other AI models
SGLang is a high-performance serving framework for large language models and multimodal models.
LAVIS - A One-stop Library for Language-Vision Intelligence
Agentic Coding Rules, Templates etc...