speculative-decoding

Streamlines AI research workflows by providing curated Claude skills for data analysis, literature review, experiment design, and research paper generation.

Assists AI researchers in drafting, structuring, and generating machine learning research papers with academic writing best practices and technical precision.

Streamlines machine learning experiment tracking, visualization, and hyperparameter optimization using Weights & Biases platform integration

Streamlines reinforcement learning model training in PyTorch with automated hyperparameter tuning, environment setup, and advanced policy optimization techniques.

Quantize large language models to GGUF format, reducing model size and improving inference performance across different hardware platforms.

Streamlines distributed training and inference for machine learning models across multiple GPUs, TPUs, and hardware configurations using Hugging Face Accelerate.

Orchestrates collaborative AI agents using CrewAI to solve complex tasks through dynamic role assignment, task delegation, and intelligent workflow management.

Streamlines PyTorch model training with automated logging, distributed computing, and advanced callbacks for efficient deep learning workflows

Analyze and describe images using advanced multimodal AI, extracting detailed visual insights and contextual understanding across various domains.

Provision and manage GPU cloud instances on Lambda Labs for machine learning and AI research workloads with automated setup and configuration.