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Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
Provides practical interactive interfaces for LLM large language models such as GPT/GLM, especially optimizing the paper reading/polishing/writing experience, modular design, supports custom shortcut buttons & function plug-ins, supports Python and C++ and other project analysis & self-translation functions, PDF/LaTex paper translation & summary functions, supports parallel query of multiple LLM models, and supports local models such as chatglm3. Access Tongyi Qianwen, deepseekcoder, iFlytek Spark, Wenxinyiyan, llama2, rwkv, claude2, moss, etc.
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