Gauntlet
Gauntlet, developed by Templar AI, is an incentive mechanism that enables permissionless, decentralized LLM training by rewarding global contributors with tokens based on their computational contributions, as shown in a 1.2B parameter model run on the Bittensor blockchain.
Gauntlet is an incentive mechanism developed by Templar AI to enable permissionless, decentralized training of large language models (LLMs), allowing anyone with internet access to contribute computational resources without registration or approval. It uses a two-phase evaluation system—deep analysis of contribution quality and fast filtering for compliance—to reward participants with tokens based on the value of their contributions, as demonstrated in a live 1.2B parameter LLM training run on the Bittensor blockchain.
