Compile NEFF Executables from NKI Kernels Compile NEFF Executables from NKI Kernels 2026-05-14 Systems #reference #systems #machine-learning #python #shell #neuron
Type Theory Concepts: A to Z An introduction to type theory concepts using Python, C++, and layman's terms. 2026-05-13 Programming #reference #programming-languages #type-theory
What is S3? S3 is a giant distributed hashmap exposed as both a public HTTP server and an authenticated REST API. 2026-05-13 Systems #reference #systems #software-engineering
vLLM Internals — PagedAttention and Custom Accelerator Compilation How vLLM applies OS-style paging to the KV cache for efficient memory management, enables continuous batching and memory sharing, and routes computation graphs to custom compiler backends for new acce 2026-05-12 AI and Machine Learning #reference #systems #machine-learning #llm #inference #pytorch #vllm
Our Cognitive Profile and a Personal Playbook for the Agentic Era A personal analysis of the twice-exceptional neurocognitive profile — the intersection of high intelligence, executive dysfunction, and perfectionism — and a strategic playbook for thriving in the age 2026-05-10 Reflections #llm #essay #career
Hugging Face Model Repositories: Organization, Semantics, and Portability A practical mental model for what a Hugging Face model repository actually contains, where the model definition lives, and how to think about portability to separate runtimes. 2026-05-04 AI and Machine Learning #reference #machine-learning #huggingface #model-deployment
Exporting Compute Graphs, LLM Shape Dynamics, and Serving Runtimes Why CNNs export to one graph while LLMs need many, how Hugging Face hides this complexity through eager execution, and why vLLM-style systems act as specialized inference operating systems rather than 2026-05-03 AI and Machine Learning #reference #systems #machine-learning #llm #inference #pytorch #vllm
Schedules in Machine Learning Computation: What They Are and Who Needs to Know About Them A schedule is the plan for how a computation is executed efficiently on hardware. This post maps out the schedule-specification spectrum across ML frameworks, explains who needs to care about scheduli 2026-05-03 AI and Machine Learning #reference #systems #machine-learning #computer-architecture
Important Locations on Jailbroken iOS Important Locations on Jailbroken iOS 2026-04-26 Systems #reference #systems #c++
Learning MLIR and HLO by Building a Tiny StableHLO-to-LLVM IR Compiler This project explored how to lower machine-learning-oriented IR into low-level compiler IR by building a small MLIR-based compiler. The tool reads StableHLO MLIR, applies a sequence of lowering and cl 2026-04-26 Systems #reference #systems #c++ #build-systems #machine-learning