Categories: Image

Real time video generation is finally real

Introducing Self-Forcing, a new paradigm for training autoregressive diffusion models.

The key to high quality? Simulate the inference process during training by unrolling transformers with KV caching.

project website: https://self-forcing.github.io Code/models: https://github.com/guandeh17/Self-Forcing

Source: https://x.com/xunhuang1995/status/1932107954574275059?t=Zh6axAeHtYJ8KRPTeK1T7g&s=19

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Google’s new AI training method helps small models tackle complex reasoning

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning tasks. Supervised Reinforcement Learning (SRL) reformulates problem-solving as a sequence of logical “actions,” providing rich learning signals during the training process.This approach enables…

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Self-improving language models are becoming reality with MIT’s updated SEAL technique

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underpinning ChatGPT and most modern AI chatbots — to improve themselves by generating synthetic data to fine-tune upon. The technique, known as…

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Can You Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?

Self-supervised features are typically used in place of filter-bank features in speaker verification models. However, these models were originally designed to ingest filter-banks as inputs, and thus, training them on self-supervised features assumes that both feature types require the same amount of learning for the task. In this work, we…

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