Binary Embeddings for Fast Search
Learn how binary embeddings use 1-bit quantization for ultra-compact vector representations, enabling billion-scale similarity search with 32x memory reduction.
Clear explanations of core machine learning concepts, from foundational ideas to advanced techniques. Understand attention mechanisms, transformers, skip connections, and more.
Learn how binary embeddings use 1-bit quantization for ultra-compact vector representations, enabling billion-scale similarity search with 32x memory reduction.
Linux system calls visualized: how user programs communicate with the kernel, protection rings, context switching, and syscall performance.
Explore the fundamental data structures powering vector databases: trees, graphs, hash tables, and hybrid approaches for efficient similarity search.
Learn client-server communication patterns including short polling, long polling, and WebSockets. Compare HTTP protocols for real-time web applications.
Learn HTTP long polling - a server-side technique that holds connections open until data arrives. Achieve near real-time updates with standard protocols.
Master the Linux networking stack through interactive visualizations. Understand TCP/IP layers, sockets, iptables, routing, and network namespaces.