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Local LLMs enable Word documents to converse, seeking practical use cases

A developer has created a proof-of-concept where two Word documents communicate with each other using local large language models. The system allows one document to retrieve content from another, and then pass generated messages back for further inference, creating a conversational loop. The developer is seeking practical use cases for this technology beyond the initial demonstration, considering possibilities like iterative drafting and critique, or spec-to-implementation document collaboration. AI

IMPACT This novel application of local LLMs could inspire new workflows for document creation and collaboration.

RANK_REASON The cluster describes a proof-of-concept tool for local LLMs, not a frontier release or significant industry event.

Read on r/LocalLLaMA →

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

Local LLMs enable Word documents to converse, seeking practical use cases

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/gptlocalhost ·

    Two Word docs talking to each other via local LLMs — what real use cases would you actually want?

    <!-- SC_OFF --><div class="md"><p>Just a toy POC. Two Word documents chat with each other. Doc A retrieves content from Doc B. After inference, Doc A hands the generated message to Doc B for further inference, ping-pong for N turns. </p> <p>Demo: <a href="https://youtu.be/m0HKszj…