
Wandering Weights
@wanderinweights
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The best AutoML scripts in the world are about to go open source 👀. @gradients_ai 5.0 aims to deliver:. 🔓 Open-source tournament winners every 2 weeks. 🏢 Enterprise transparency that actually builds trust. 🚀 Continued world-leading performance through competitive.
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RT @gradients_ai: "If there was more transparency and trust with what was happening with the data - there would be a clear path to using Gr….
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RT @gradients_ai: Calling all miners! ⛏️. G.O.D 5.0 changes everything:. 🎮 Tournament-style competitions.💰 Emissions for defending champion….
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RT @gradients_ai: Announcing Gradients v5. The world’s greatest autoML script competition starts July 21st. From the world’s most powerful….
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The story so far @gradients_ai . Start-up less than 9-months old, forged in the fire of Bittensor. Trained over 28 billion tokens for organic customers in the last month alone. 1.0 – Dec ‘24 → Instruct.2.0 – Feb ‘25 → Diffusion.3.0 – Apr ‘25 → DPO + GRPO.4.0 – May ‘25 →.
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Long awaited @gradients_ai 5.0 detailed announcement Friday, July 4th. This has been cooking for a couple of months now and is our biggest upgrade yet - by a long way. Mass commercialization at its heart, hyped to get this out 🤙.
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RT @rayon_labs: We have just launched a new free tier for @chutes_ai which is currently a 200 request global limit for all models. Beyond….
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Wednesday update! 🚀 @gradients_ai .✅ Still the best platform for training instruct, GRPO & diffusion models.✅ Organic traffic up, especially image tasks .✅ Chat format integrated - miners adapting fast.🔥 Coming up:.* Gradients-Instruct results this weekend.* Native chat.
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RT @CryptoZPunisher: #Biττensor >> ∆ τ << #τₐcc . > $TAO <. Let’s talk about #SN90 – the scammer brain!. At its hea….
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If Meta had partnered with @gradients_ai for instruction tuning. It looks so far like they would have released a stronger model. With just preliminary training (half-way there), our Gradients-tuned Llama 3B beats both base and instruct models on key benchmarks:. ✅ RACE. ✅
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RT @rayon_labs: The approach: . Templar (SN3) → Base model pretraining .Gradients (SN56) → Instruct fine-tuning . Proof of concept result….
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