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Tushar Tiwari
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reshabhs/SPML_Chatbot_Prompt_Injection
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Some time ago, I built a predictive LLM router that routes chat requests between small and large LLM models based on prompt classification. It dynamically selects the most suitable model depending on the complexity of the user input, ensuring optimal performance while maintaining conversation context. I also fine-tuned a RoBERTa model to use with the package, but you can plug and play any classifier of your choice. Project's homepage: https://devquasar.com/llm-predictive-router/ Pypi: https://pypi.org/project/llm-predictive-router/ Model: https://huggingface.co/DevQuasar/roberta-prompt_classifier-v0.1 Training data: https://huggingface.co/datasets/DevQuasar/llm_router_dataset-synth Git: https://github.com/csabakecskemeti/llm_predictive_router_package Feel free to check it out, and/or contribute.
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nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
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tushifire/setfit-break_task
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tushifire/setfit_youtube_comments_is_question
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tushifire/distilbert-finetuned-ner
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tushifire/Arxiv_Paper_embeddings
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Mar 18, 2023
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