
Each day, I'll share my insights on an interesting paper in Computer Vision, NLP or Multimodal AI
| Platform | Pricing | Only free issues | Publishes | Daily | |
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Today’s paper tackles an important problem in reinforcement learning (RL) for large language models: the lack of predictive scaling methodologies. While pre-training has well-established scaling laws that allow researchers to predict perfor...
Today’s paper introduces UniMoE-Audio, a unified model that can generate both speech and music from text, audio, and video inputs. The work addresses a significant challenge in AI audio generation: creating a single system that excels at bo...
Today’s paper introduces OmniVideoBench, a comprehensive benchmark designed to evaluate how well multimodal large language models (MLLMs) can understand and reason across both audio and visual information in videos. The benchmark addresses ...
Today’s paper introduces Representation Autoencoders (RAEs), a new approach that replaces traditional VAE encoders in Diffusion Transformers with pretrained representation encoders like DINO or SigLIP. The method challenges the common assum...
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The writers behind this newsletter.
AI engineer and researcher. I explore practical applications of large language models in real-world scenarios. Sharing insights on the evolving AI landscape and its potential impact.
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