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RAG-GPT, leveraging LLM and RAG technology, learns from user-customized knowledge bases to provide contextually relevant answers for a wide range of queries, ensuring rapid and accurate information retrieval.
CodeCollector helps developers gather and consolidate code from various files and directories into a single text file, making it easy to pass entire projects to GPT models for analysis and documentation.
Generate non-verbal reaction with multi-modal input of the counterpart's facial expression and voice. This solution won 1st place in REACT2024 organized by IEEE-FG2024