Summaries and Q&A for dense financial disclosures

Show HN: Summaries and Q&A for dense financial disclosures

Based, Summaries and Q&A for dense financial disclosures works in show hn launch.

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LLMs currently seem to be best at summarization and question answering tasks when relevant chunks of source text have been strategically placed within their input context via a semantic search and semantic chunking preprocess. With EdgarGPT we are exploring the limits of this strategy against dense financial disclosure documents, with an eye towards enabling more customized processing of these filings.

Within the show hn launch space, the company focuses on its core offering rather than a broad product line.

Directory data places it at the Show HN launch stage.

Website: edgar-gpt.ai