Inodes: The Hidden Metadata That Powers Every File
Understand Linux inodes - the metadata structures behind every file. Learn about hard links, soft links, and inode limits.
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15 min read
ML Concepts - Page 10
Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
194
Total Concepts
341
Topics
Page 10
of 33
Concepts - Page 10
Browse by categoryAttention Sinks: Stable Streaming LLMs
Learn about attention sinks, where LLMs concentrate attention on initial tokens, and how preserving them enables streaming inference.
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7 min read · advanced
Receptive Field in CNNs
Understand receptive fields in CNNs: how convolutional layers expand their field of view and the gap between theoretical and effective receptive fields.
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7 min read
Cross-Encoder vs Bi-Encoder
Understand the fundamental differences between independent and joint encoding architectures for neural retrieval systems.
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10 min read · intermediate
CUDA Streams: Asynchronous Execution and Concurrency
A CUDA stream is an in-order queue of GPU ops. Overlap H→D, kernels, and D→H across streams — and avoid the default-stream trap that serializes everything.
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10 min read · intermediate
Understanding num_workers
Why DataLoader num_workers matters: processes hide load latency behind GPU work, how to find the sweet spot, and the memory/GIL pitfalls that come with the pool.
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9 min read · intermediate
Showing 55-60 of 194 concepts