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albinati / audioSummaryGPT

This project basically uses Whisper to transcribe an audio file and GPT models to summarize the content.

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Use LangChain

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LangChain offers four methods to overcome token limits in AI language models like GPT-based ChatGPT API:

Parallel Method: This method divides your document into smaller sections and processes them simultaneously. It allows for efficient processing of large documents by circumventing token limits.

Refine Method: This method processes document chunks sequentially and refines the output with each new piece of context. This can lead to unparalleled accuracy and precision in summaries and answers.

Map-Reduce Method: Combining the power of parallel processing and output merging, the Map-Reduce method processes document chunks in parallel and then merges the outputs into a coherent summary. It's ideal for handling massive documents.

Map-Re-Rank Method: This method is designed to optimize question-answering tasks. It asks questions to each document chunk, ranks the answers, and returns the best one. This can enhance semantic search applications with highly focused results.