A detailed explanation of the mathematical foundations of Zero-Knowledge Proofs (ZKP), the mechanisms of zk-SNARKs and zk-STARKs, and their latest applications in Web3 and security, such as ZK-Rollups and privacy-preserving identities.
A comprehensive manual for setting up AI image generation tools (Stable Diffusion WebUI, ComfyUI, Fooocus) in a local Windows environment.
A detailed guide covering how to implement local AI features in Windows 11, with practical C# and C++ code examples utilizing Windows Copilot Runtime, NPU, and DirectML.
A detailed explanation ranging from the definition of quantum supremacy, the 2019 demonstration experiment by Google's Sycamore processor, IBM's rebuttal and approach, to the latest trends towards error correction and FTQC (Fault-Tolerant Quantum Computing).
The arrival of 'Q-Day', where the astonishing computational power of quantum computers shakes the very foundations of blockchain. From the collapse of ECDSA due to Shor's algorithm to the transition strategy to Post-Quantum Cryptography (PQC), we thoroughly explain the technological future of crypto assets.
While Python is the mainstream for recent AI development, the power of C++ is indispensable in edge devices and environments requiring high performance. In this article, drawing heavy inspiration from the philosophy of GGML, we provide a thorough, 10,000-word scale explanation of how to build a proprietary AI inference engine from scratch exclusively in C++, with support for CUDA and Metal backends.
A complete guide to fine-tuning TinyLLaMA efficiently and quickly in an on-premises environment. We explain everything in detail, from the mathematical background of LoRA and QLoRA, to practical PyTorch code, and optimization techniques using Flash Attention 2.
From the ancient Caesar cipher, through Enigma and public-key cryptography, to Post-Quantum Cryptography (PQC) preparing for the future threat of quantum computers, this article thoroughly explains the epic history and technological evolution of cryptography.
A detailed development guide and internal architecture explanation for running inference on small AI models like TinyLLaMA in a local environment using C++ and ggml. Covers memory mapping, tensor operations, and SIMD optimization.
A thorough comparison and explanation of the two quantum computing architectures, Quantum Annealing and the Gate Model, from mathematical models and physical backgrounds such as the Ising model, QUBO formulation, unitary transformation, and error correction, to specific use cases.
A complete guide covering everything from the basics of llama.cpp to advanced C++ customization, the mathematical background of Transformers, and the ggml architecture.
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