A lot of speed-up tricks for AI inference engines sacrifice the quality or accuracy of…

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A lot of speed-up tricks for AI inference engines sacrifice the quality or accuracy of the answers TensorFold uses exact speculative decoding to get you the main model's answer faster. A drafter proposes several tokens ahead (batched). The main model checks them together, keeps the matching prefix and corrects the first mismatch. With the same TensorFold setup, prompt and seed on a supported decoding path, the output matches drafting off, token for token. The main model still decides the answer, you just spend less time waiting for it. http://tensorfold.dev @tensorfold_dev

Posted by Ash Hart (9.8k followers) 1 h ago · 38 likes · 1.5k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: Agents in flight.

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