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 build powerful RAG applications by ingesting documents, indexing data, and querying with LlamaIndex.

This skill helps you fine-tune and deploy OpenPI pi0, pi0-fast, or pi0.5 models for robot policy inference across ALOHA, DROID, LIBERO.

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

This skill fine-tunes and evaluates OpenVLA-OFT policies for robot action generation with LoRA and FiLM conditioning.

This skill automates end-to-end AI research projects by managing loops, literature search, experiments, and synthesis to guide direction and produce papers.

This skill helps researchers generate genuinely novel CS and AI ideas by applying cognitive science frameworks like combinatorial creativity and constraint

This skill detects prompt injections and jailbreak attempts in LLM apps, ensuring safer interactions and reliable third-party data filtering.

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

This skill guides reinforcement learning based training of large language models using verl across PPO, GRPO, and other RL algorithms.

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 helps you accelerate RL-based LLM post-training with slime's Megatron-LM and SGLang for scalable data generation and rollout.

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 benchmark LLMs across 100+ benchmarks with containerized, scalable evaluation on local Docker, Slurm HPC, or cloud platforms.

This skill helps you deploy AI models efficiently on consumer hardware using GGUF quantization for flexible 2-8 bit inference.

This skill helps you instrument, trace, evaluate, and monitor LLM applications with Phoenix for debugging, testing, and real-time observability.

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

This skill benchmarks code generation models across 15+ tasks, providing pass@k metrics and multi-language evaluation for robust code quality.

This skill helps extend transformer context windows for long documents using RoPE, YaRN, ALiBi, and position interpolation to improve efficiency and

This skill helps you track ML experiments, visualize training, sweep hyperparameters, and manage models using Weights & Biases for streamlined MLOps.

This skill optimizes LLM inference on NVIDIA GPUs with TensorRT for maximum throughput and lowest latency in production.