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AI RAG Analysis of CIP 1694
Current Project Status
Unfunded
Amount
Received
₳0
Amount
Requested
₳51,000
Percentage
Received
0.00%
Solution

Provide an educational exposition of the development of an open-source LLM (Large Language Model) based on RAG (Retrieval Augmented Generation) for question & analysis of CIP 1694.

Problem

https://youtu.be/f15DkGTTOioCommunity members need a way to ask questions about, and educate themselves about, CIP-1694 governance. We can address this using AI-powered contextual retrieval.

Impact Alignment
Feasibility
Value for Money

QA-DAO

2 members

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Playlist

  • EP2: epoch_length

    Authored by: Darlington Kofa

    3m 24s
    Darlington Kofa
  • EP1: 'd' parameter

    Authored by: Darlington Kofa

    4m 3s
    Darlington Kofa
  • EP3: key_deposit

    Authored by: Darlington Kofa

    3m 48s
    Darlington Kofa
  • EP4: epoch_no

    Authored by: Darlington Kofa

    2m 16s
    Darlington Kofa
  • EP5: max_block_size

    Authored by: Darlington Kofa

    3m 14s
    Darlington Kofa
  • EP6: pool_deposit

    Authored by: Darlington Kofa

    3m 19s
    Darlington Kofa
  • EP7: max_tx_size

    Authored by: Darlington Kofa

    4m 59s
    Darlington Kofa
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