DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Latin Metals Inc. (“Latin Metals” or the “Company” ) - (TSXV: LMS and OTCQB: LMSQF) is pleased to report receipt of ...

DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...

For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...

Language models often repeat themselves and fall back on stereotypical answers after training. Verbalized Sampling is a simple prompt technique designed to make AI responses less repetitive.

One of the coolest things about generative AI models — both large language models (LLMs) and diffusion-based image generators — is that they are "non-deterministic." That is, despite their reputation ...

The official code for the paper DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps (Neurips 2022 Oral) and DPM-Solver++: Fast Solver for Guided Sampling of ...

This repository contains the complete codebase for training and evaluating energy-based diffusion models for molecular dynamics simulations. Our approach enables a single model to perform both ...

This is the official repository of paper "Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching." We propose Distilled Decoding (DD) to distill a pre-trained image ...

Abstract: We propose a sample-based model predictive control (MPC) method for collision-free navigation that uses a normalizing flow as a sampling distribution, conditioned on the start, goal, ...