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Openτensor Foundaτion
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解決 SN38 上的去中心化 LLM 培訓問題,瞭解 Bittensor 上的子熱鍵 + EVM 兼容性?
本週新奇搜索:
https://youtu.be/V2CVx8hGR7M
免責聲明:包含來自第三方的見解。非財務建議。可能包含贊助內容。
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Decentralized AI in SN29 @Coldint_ - Splitting massive models across GPUs, enabling scalability. - Efficient validation makes training smarter without massive hardware costs. - Gradual model growth builds on smaller models, saving compute. Watch the ful
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Bittensor Community Meetup - 10 Dec- Vancouver, BC + See @const_reborn at NeurIPS Jacob Steeves presenting the latest from @opentensor 8:30-9:30am PST - @NeurIPSConf Bittensor Community meetup - 2:00-7:00pm 2:00 - Eugene @CrucibleLabs 2:30 - SN9 @MacrocosmosAI 3:00 - Rob @manifoldlabs 3:30 - Evan @YumaGroup 4:00 - 7pm - Happy hour at the AI Social Space by @akashnet_ in Vancouver, BC Full event details + RSVP:
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What are Subnets? Bittensor is the Olympic Games of intelligence 🥇 Bittensor Sub-Networks (subnets) solve big problems in AI: • Decentralized training • Fine-tuning models • Fraud detection • Protein folding & more (+ it's open source) Subnet owners design games (challenges) to solve specific problems. Miners are the athletes of Bittensor who do the work, Validators are the judges who score the winners according to the subnet’s rules (Incentive mechanism) The best contributors are rewarded in $TAO, creating measurable output of digital goods. Bittensor subnets transform human ingenuity into measurable, decentralized digital commodities, redefining the economy of intelligence.
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SN19 - Inference faster than almost all web2 (all but Grok) - Training simplified—train LLMs with zero coding skills - Deploy your own serverless, decentralized model powered by network miners All in this weeks episode: https://t.co/IbWXtQ3fR5 https://t.co/6kOzeUJBFF @namoray_dev @mogmachine @const_reborn
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The Holy Grail of Bittensor: Permissionless, trustless, Incentivized >> Distributed Training. Dive into how two subnets in Bittensor are pioneering this frontier in a world-first effort. Full episode on YT+ Spotify: https://youtu.be/IHSotxGHP70
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