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User seeks efficient Codex method for large markdown data consolidation

By PulseAugur Editorial · [1 sources] ·

A user is seeking the most efficient method to process a large volume of markdown files, totaling over 100,000 lines each, using OpenAI's Codex. The goal is to consolidate, summarize, and reference this data to reconstruct a development project after a data loss incident. The user is looking for a way to feed this extensive data into Codex without exceeding token limits or requiring excessive back-and-forth communication. AI

IMPACT Highlights potential limitations and user needs for handling large datasets with current LLM tools.

RANK_REASON User query about using an existing tool for a specific technical challenge.

Read on r/OpenAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks efficient Codex method for large markdown data consolidation

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User query about using an existing tool for a specific technical challenge.
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product, infra
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High
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1 days old
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COVERAGE [1]

  1. r/OpenAI TIER_2 English(EN) · /u/AggressiveCoast190 ·

    Codex to review / reference large markdown?

    <!-- SC_OFF --><div class="md"><p>TLDR; What is the most economical and efficient way to get codex to read, consolidate, summarize, reference and build one condensed reference file from ten markdown files with at least 100,000 lines each? </p> <p>The story… I have a folder full o…

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