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#
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This is a Gradio app initially drafted using CodeLlama-70B, intended to retrieve specific datachunks using RAG embeding, from tabular csv data, and then connect those into the user prompt and the master prompt and then feed them into a Mistral model called from Hugging Face ran locally, then return the response to the user via the gradio app GUI.
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title: TestOfLocalGradioRAG_byCodeLlama70B
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# This is part of an ongoing research project whereby code-assist LLMs are orchestrated by one or more human coders in order to construct fundamentals and improvements in LLM-related architecture.
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This is a Gradio app initially drafted using CodeLlama-70B, intended to retrieve specific datachunks using RAG embeding, from tabular csv data, and then connect those into the user prompt and the master prompt and then feed them into a Mistral model called from Hugging Face ran locally, then return the response to the user via the gradio app GUI.
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