Contains the code examples from The UVM Primer Book sorted by chapters.

Reference examples and short projects using UVM Methodology

Build a SystemVerilog Environment for an ALU, using OOP testbench components as; stimulus generator, driver, monitor, scoreboard. ALU was verified using QuestaSim.

🧠 Guide to Building RAG (Retrieval-Augmented Generation) Applications

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

Code for the paper "Language Models are Unsupervised Multitask Learners"

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Learn where some of the network sysctl variables fit into the Linux/Kernel network flow. Translations: 🇷🇺

bpftune uses BPF to auto-tune Linux systems

A lightweight data processing framework built on DuckDB and 3FS.

A high-performance distributed file system designed to address the challenges of AI training and inference workloads.

DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling

DeepEP: an efficient expert-parallel communication library

FlashMLA: Efficient MLA decoding kernels

Reexamining Direct Cache Access to Optimize I/O Intensive Applications for Multi-hundred-gigabit Networks

Vendor-neutral programmable observability pipelines.

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

Fully-featured web interface for Ollama LLMs

🦜🔗 Build context-aware reasoning applications

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

code for benchmarking GPU performance based on cublasSgemm and cublasHgemm

Sample code to test and benchmark large CuFFTs on Nvidia GPUs

A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations

LLM inference in C/C++

Example models using DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理