Performance skills

This skill provides expert guidance for fast fine-tuning with Unsloth, enabling 2-5x training speed and reduced memory usage.

This skill orchestrates distributed training with Ray Train to scale PyTorch, TF, and HuggingFace across clusters, boosting efficiency and fault tolerance.

This skill guides enterprise RL training with miles for large MoE models, enabling FP8/INT4, train-inference alignment, and speculative RL for throughput.

This skill enables scalable pretraining of large language models using PyTorch Torchtitan 4D parallelism across GPUs, delivering faster training with efficient

This skill helps you integrate PyTorch FSDP2 into training scripts with correct initialization, sharding, mixed precision, and DTensor-based checkpointing.

This skill speeds high-performance RLHF training for large models with Ray and vLLM acceleration, simplifying distributed PPO GRPO DPO workflows

This skill provides expert guidance for distributed training with DeepSpeed, covering ZeRO, pipeline parallelism, FP16/BF16/FP8, and optimization best

This skill helps you manage production-grade vector search with Pinecone, delivering low-latency, serverless indexing and hybrid search capabilities.

This skill simplifies distributed training with HuggingFace Accelerate, enabling seamless multi-GPU/TPU setups via a four-line integration.

This skill enables fast billion-scale vector similarity with FAISS, guiding deployment, index selection, and GPU-accelerated search for high-performance

This skill helps you optimize large-scale LLM training with Megatron-Core, enabling efficient 2B-462B parameter models using advanced parallelism.

This skill evaluates NVIDIA Cosmos Policy on LIBERO and RoboCasa simulations, enabling efficient setup, headless rendering, and latency profiling for robotics

This skill helps you streamline PyTorch Lightning training, automate distributed execution, and reduce boilerplate for scalable, reproducible experiments.

This skill helps you visualize training metrics, debug models, compare experiments, and profile performance with TensorBoard.

This skill optimizes LLM data curation with GPU-accelerated, multi-modal cleaning, deduplication, and PII redaction to improve training data quality.

This skill helps generate high-quality embeddings for semantic search and retrieval using sentence-transformers, enabling efficient RAG, clustering, and

This skill helps deploy high-throughput LLM serving with vLLM, enabling OpenAI-compatible endpoints, quantization, and tensor parallelism for production

This skill accelerates LLM inference using speculative decoding, Medusa heads, and lookahead techniques to boost speed and reduce latency.

This skill helps you train large-scale Mixture of Experts models with DeepSpeed or HuggingFace efficiently, reducing compute while expanding capacity.

This skill helps design robust REST APIs, optimize databases, and secure backend systems with scalable patterns.

This skill helps you scaffold frontend projects, optimize Next.js performance, analyze bundles, and enforce accessibility and quality for React apps.