ext4: The Linux Workhorse Filesystem
Explore ext4, the default Linux filesystem with journaling, extents, and proven reliability. Learn how ext4 protects your data.
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8 min read
ML Concepts - Page 14
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 14
of 33
Concepts - Page 14
Browse by categoryMasked and Causal Attention
Trace causal attention from shifted next-token labels through the lower-triangular mask, pre-softmax blocking, parallel training, and incremental decoding.
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10 min read · intermediate
Focal Loss: Focusing on Hard Examples
Learn focal loss for deep learning: down-weight easy examples, focus on hard ones. Interactive demos of gamma, alpha balancing, and RetinaNet.
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9 min read
Vector Quantization Techniques
Master vector compression techniques from scalar to product quantization. Learn how to reduce memory usage by 10-100× while preserving search quality.
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12 min read · intermediate
Flynn's Classification: Taxonomy of Computer Architectures
Flynn's Classification explained — SISD, SIMD, MISD, MIMD with interactive architecture explorer, SIMD evolution from MMX to AMX, branch divergence visualization, and workload-architecture throughput comparison.
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15 min read · intermediate
Python __slots__ Optimization
Learn when Python __slots__ reduces memory, how slot storage differs from __dict__, and the caveats for dataclasses and inheritance.
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11 min read · intermediate
Showing 79-84 of 194 concepts