Turn a long report into a short, faithful summary using map-reduce chunking so you never blow the context window.
Documents are longer than a model's context window, and a single naive prompt either truncates the input or produces a shallow summary.
Summarizing chunk by chunk and then summarizing the summaries (map-reduce) keeps the whole document in scope and gives a faithful result.
Use this for meeting transcripts, long PDFs, research papers, and support threads that must be condensed.
Python and an LLM API key in an env var. A long text file to summarize.
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The step by step build and conclusion are part of a ByteLabs bundle. Enrol once to unlock every gated section in it for 3 months.
Enrol in "AI, ML and DSA Realtime Starter" · ₹589Already bought this? Sign in to open it.