Ai skills

This skill helps you train and analyze Sparse Autoencoders with SAELens to extract interpretable, monosemantic features from neural activations.

This skill accelerates transformer attention with Flash Attention for 2-4x speedup and 10-20x memory reduction on long sequences.

This skill helps you build powerful RAG applications by ingesting documents, indexing data, and querying with LlamaIndex.

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

This skill enables efficient LLM inference on CPU and non-NVIDIA hardware, enabling edge deployment and Apple Silicon performance with GGUF quantization.

This skill helps you perform vision-language tasks such as captioning, VQA, and multimodal chat using BLIP-2 with frozen encoders.

This skill helps orchestrate ML workloads across multiple clouds with automatic cost optimization and spot instance recovery.

This skill helps you draft publication-ready ML papers for top conferences by providing proactive drafting, citation verification, LaTeX templates, and

This skill helps you deploy and experiment with Mamba selective state-space models for efficient linear-time sequence processing on GPUs.

This skill helps you orchestrate teams of autonomous agents for complex tasks with memory, roles, and production-ready workflows.

This skill helps you implement and train LLMs with LitGPT across 20+ pretrained architectures for clean, production-ready workflows.

This skill helps you generate music or sounds from text descriptions using AudioCraft, enabling melody-conditioned and stereo audio output.

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

This skill guides fine-tuning LLMs with TRL for instruction tuning, preference alignment, and reward-based optimization, aligning models to human feedback.

This skill helps you enforce structured generation with regex and grammars, guaranteeing valid JSON/XML/code and guiding multi-step workflows.

This skill helps you compress large language models to 4-bit precision with minimal accuracy loss, enabling faster inference and smaller memory footprints.

This skill guides researchers through structured ideation frameworks to uncover high-impact research directions, offering actionable prompts and evaluation

This skill helps you quantize large language models to 8-bit or 4-bit with minimal accuracy loss to reduce memory and speed up inference.

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

This skill helps you collect user input via a modal UI to clarify preferences, confirmations, or constraints before acting.

This skill ensures explicit user permission before any file deletion, preventing accidental loss by requiring approval for all delete operations.