Browse All Agent Skills

Instructor - Structured Data Extraction

Extracts and validates structured data from LLM responses using Pydantic for reliable, type-safe outputs and automatic retries.

FAISS Vector Search

Implements efficient similarity search and clustering for dense vectors at scale using Facebook AI's high-performance library.

TensorBoard ML Visualization

Visualizes machine learning training metrics, model architectures, and performance profiles using Google's TensorBoard toolkit.

MoE Training: Mixture of Experts

Trains and optimizes Mixture of Experts (MoE) models to scale AI capacity with significantly reduced compute costs.

LlamaGuard AI Content Moderation

Moderates LLM inputs and outputs using Meta's specialized LlamaGuard models to ensure safety and policy compliance across six critical categories.

ML Paper Writing for AI Research

Drafts publication-ready ML and AI research papers for top-tier conferences like NeurIPS and ICML directly from your research codebase.

GGUF Model Quantization

Optimizes large language models for efficient local inference using GGUF format and llama.cpp quantization techniques.

Unsloth Fine-Tuning Expert

Optimizes LLM fine-tuning workflows by providing expert guidance on Unsloth implementation for faster training and reduced memory usage.

Enterprise RL Training (miles)

Optimizes large-scale Reinforcement Learning training for Mixture-of-Experts models using high-performance quantization and speculative rollout techniques.

RWKV Model Architecture

Implements and manages RWKV architectures for efficient, linear-time AI inference and long-context processing.

NeMo Curator Data Processing

Accelerates LLM data curation using GPU-powered deduplication, quality filtering, and PII redaction at scale.

Flash Attention Optimization

Optimizes Transformer attention mechanisms using Flash Attention for significant speedups and 10-20x memory reduction.

LLaMA-Factory Fine-Tuning

Streamlines the fine-tuning of 100+ large language models using LLaMA-Factory with support for QLoRA and multimodal architectures.

vLLM Inference Serving

Serves large language models with high throughput and low latency using PagedAttention and continuous batching.

PyTorch FSDP2 Distributed Training

Implements advanced PyTorch FSDP2 sharding and distributed checkpointing for efficient large-scale model training.

Megatron-Core LLM Training

Trains large-scale language models using NVIDIA Megatron-Core with advanced parallelism strategies for maximum GPU efficiency.

TRL LLM Fine-Tuning & Alignment

Fine-tunes and aligns Large Language Models using Supervised Fine-Tuning and Reinforcement Learning from Human Feedback via the TRL library.

TorchTitan LLM Pretraining

Accelerates large-scale LLM pretraining using PyTorch-native 4D parallelism and Float8 optimization.

Stable Diffusion Image Generation

Generates high-quality images from text and performs advanced image-to-image transformations using the HuggingFace Diffusers library.

Long Context Transformer Engineering

Extends Transformer model context windows using advanced positional encoding and interpolation techniques like RoPE, YaRN, and ALiBi.

Slime RL Post-Training

Scales LLM post-training via reinforcement learning by integrating Megatron-LM training with high-throughput SGLang inference.

torchforge RL Training

Implements PyTorch-native agentic reinforcement learning workflows using Meta's torchforge library for scalable algorithm experimentation.

Phoenix AI Observability

Provides comprehensive LLM observability, tracing, and evaluation tools to debug and monitor AI applications in real-time.

CLIP Multimodal Vision

Integrates OpenAI's CLIP model to enable zero-shot image classification, semantic image search, and cross-modal retrieval without task-specific training.

LitGPT LLM Implementation & Training

Implements, fine-tunes, and deploys high-performance Large Language Models using Lightning AI's LitGPT framework.

AutoGPT Autonomous Agents

Builds, deploys, and manages continuous AI agents through a visual workflow builder or specialized development toolkit.

DeepSpeed Distributed Training

Optimizes large-scale model training using DeepSpeed configurations, ZeRO optimization stages, and high-performance I/O management.

LLaVA Multimodal Vision Assistant

Integrates LLaVA to enable sophisticated visual instruction following and multi-turn conversational image understanding.

OpenRLHF Model Training

Deploys and manages high-performance RLHF training pipelines for large-scale language models using Ray and vLLM acceleration.

Whisper Speech Recognition

Transcribes and translates audio across 99 languages using OpenAI's robust general-purpose speech recognition models.