DGrid AI (@dgrid_ai)
@dgrid_ai
💡 DGrid AI is a Decentralized AI Smart Network for Cost-effective, Reliable & Verifiable AI. One API, ALL LLMs. 🌟TG:
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📽️ Here’s a quick walkthrough of DGrid Chat.
In this short tutorial, we show how to start a chat, choose your model mix, upload context, and review responses in one workspace.⚡️
🔗Try it now:
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🚀 Introducing DGrid Chat.
A new entry point into the DGrid ecosystem, built for multi-model AI inference and response comparison.
With DGrid Chat, you can select up to 4 models, send one prompt, and compare outputs side by side across different tasks, use cases, and model strengths.
Stop guessing which model is best for the task — make the choice based on real responses, not assumptions.
👉 Try it here:
#AI# #LLM# #DGrid#
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🚀 Introducing DGrid Chat.
A new entry point into the DGrid ecosystem, built for multi-model AI inference and response comparison.
With DGrid Chat, you can select up to 4 models, send one prompt, and compare outputs side by side across different tasks, use cases, and model strengths.
Stop guessing which model is best for the task — make the choice based on real responses, not assumptions.
👉 Try it here:
#AI# #LLM# #DGrid#
显示更多
2/📊 Key Results (held-out test set, n=300)
✅DeBERTa Judge: Pearson 0.747 (95% CI [0.663, 0.816]) → Outperforms all reference-based evaluators in our prior framework (best: 0.629)
✅Reference-Free composite score: Pearson 0.645→ Matches the best reference-based single evaluator — with zero reference answers
✅Cascade + online weight calibration: Saves 72.7% evaluation cost
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