We introduce dParallel, a simple and effective method that unlocks the inherent parallelism of dLLMs for fast sampling. We identify that the key bottleneck to parallel decoding arises from the ...
Vulnerabilities in popular AI and ML Python libraries used in Hugging Face models with tens of millions of downloads allow ...
Deep Learning with Yacine on MSN
Understanding Caesar cipher in Python — encode and decode text easily
Curious how the Caesar Cipher works? This Python tutorial breaks it down in a simple, beginner-friendly way. Learn how to ...
Just like with real cars, My Winter Car‘s vehicles have a unique Vehicle Identification Number tied to them that can provide information on their history. Why does this matter, you ask? In My Winter ...
Abstract: Projection-aggregation decoding provides state-of-the-art performance for decoding Reed-Muller codes. This type of decoding relies on projecting onto subspaces, decoding the projections, and ...
Abstract: Non-Binary Low-Density Parity-Check (LDPC) codes have gained significant attention due to their remarkable error correction capabilities in various ...
The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
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