
Guide for using caching utilities in speedy_utils, including memory, disk, and hybrid caching strategies for sync and async functions.
Guide for using IO utilities in speedy_utils, including fast JSONL reading, multi-format loading, and file serialization.
Advanced pattern for processing large HuggingFace datasets in parallel using speedy_utils.multi_process, with sharding, worker initialization, temporary file management, and safe cleanup.
Guide for using LLM utilities in speedy_utils, including memoized OpenAI clients and chat format transformations.
Comprehensive guide to using Ray for scalable distributed computing, including Ray Core, Data, Train, Tune, Serve, and RLlib with practical examples
Guide for using vision utilities in speedy_utils, including fast GPU image loading, memory-mapped datasets, and notebook visualization.
Guide for adjusting speedy_utils LLM inference style, including chat templating, <think> prefixes, stop sequences, and boxed-answer handling.
Reduce VS Code Python red squiggles to zero in this repository. Use when Pylance or pyright reports errors, when tools/check_syntax.py fails, or when a change should leave VS Code diagnostics clean.
Guide for creating new Agent Skills with proper structure, frontmatter, bundled assets, and validation. Includes templates, best practices, and examples for building reusable skill resources.
Comprehensive guide for using multi-threading and multi-processing in Python, including when to choose each approach, best practices, and practical examples using the speedy_utils library.