Enhancing Large Document Summarization with Embeddings and Semantic Similarity
I’m excited to share a powerful method for accurately summarizing large documents that exceed the input size limit of GPT-4. I’ve designed a diagram to visually illustrate this approach, which leverages embeddings to check the semantic similarity of summarized blocks (chunks). This iterative process ensures that each block reaches a desired similarity threshold before being …
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