ray-train

Comprehensive open-source library of 77 AI research engineering skills across 20 categories including model architecture, fine-tuning, distributed training, RAG, multimodal, and ML paper writing.

A Claude Code skill providing structured ideation frameworks with 10 complementary lenses for discovering high-impact AI research directions, part of the Orchestra Research AI research engineering skills library with 85+ skills across 21 categories.

A skill from the AI Research Engineering Skills library, a comprehensive open-source collection of 82 skills across 20 categories that provide engineering capabilities for AI agents to conduct research experiments, including training, evaluation, deployment, and agent building.

AI research skill for long-context model techniques and optimizations, part of an 87-skill library enabling autonomous AI research across 22 categories from idea to paper.

Part of the AI Research Engineering Skills Library, a comprehensive collection of 83 skills across 20 categories covering the full AI research lifecycle. Provides expert-level guidance for knowledge distillation with real code examples and production-ready workflows for frameworks like Megatron-LM, vLLM, and TRL.

A speculative decoding skill from the AI Research Engineering Skills library, part of a collection of 82 research skills covering emerging AI techniques. Provides expert-level guidance on speculative decoding for accelerating LLM inference.

An AI research engineering skill for Qdrant, a high-performance Rust-powered vector search engine with hybrid search and filtering capabilities, part of the 83-skill AI Research Skills library covering RAG and retrieval workflows.

An AI research skill for text-to-image generation using Stable Diffusion via HuggingFace Diffusers, including SDXL and ControlNet support. Part of the AI Research Skills library with 87 skills enabling AI agents to autonomously conduct research from idea to paper.

Part of the AI Research Engineering Skills Library covering 82 skills across 20 categories. This skill focuses on model merging techniques, one of the library's emerging techniques alongside MoE, long context, speculative decoding, distillation, and pruning.

AI research engineering skill for optimizing attention mechanisms with Flash Attention techniques, part of a comprehensive 83-skill library covering model architecture, training, and deployment.