SN4 is Bittensor's Redundant Deterministic Verification of Large Language Models

Designed to interpret and analyze ground truth sources and a query, SN4 incentivizes miners to produce accurate and rapid responses

For AI applications, quick and accurate responses are everything

To remain competitive, the outputs that applications rely on must be both accurate and quick

Redundant Deterministic Verification showcases the power of Bittensor

SN4 employs redundant deterministic verification to create a robust, fair system for evaluating language models, using prompt generation with a query generation model and private input to prevent overfitting and front-running

INCENTIVISING QUALITY OUTPUT

SN4 incentivizes miners to provide the highest quality outputs in the quickest manner. Quality is assessed by the validators using an augemented Jaro-Winkler Simalirty Algorithm

IDENTIFY AND REWARD CONTRIBUTIONS

A reward schematic where those within 20% of the highest Words Per Second encourages miners to continuously improve relative to the competition, ensuring that SN4 produces continuously valuable intelligence

DE-RISK INFLUENCE OF BAD ACTORS

By rewarding miners on similarity of output and speed, this mitigates the risk of gamifiers who will have no ability to purely extract from SN4