Browse skills

Provides machine learning guidance and assistance for software development workflows.

Automatically generates realistic synthetic data to augment datasets and improve model training accuracy.

Golden Dataset generates high-quality, diverse synthetic data for training AI models, boosting performance and reducing bias issues.

Analyzes training logs to identify patterns and insights for improved performance optimization and targeted skill development.

Ray-Data efficiently manages and retrieves large datasets for AI training and experimentation within Orchestra Research's platform.

Skill Logger records every skill usage for detailed tracking & analysis, improving training and understanding user behavior.

This skill trains large language models like Megatron using orchestra-research techniques for enhanced performance and customization.

Provides LLMs guidance and assistance for building AI and machine learning applications.

This skill trains large language models like Megatron, accelerating AI development and enabling powerful custom LLM creation for diverse applications.

Dynamically adjusts reinforcement learning parameters to accelerate training and improve performance in complex environments.

Generates synthetic training data tailored to your model's needs, improving performance without real-world examples.

Sundial-org's training-data-curation refines datasets by identifying biases, errors, and gaps for improved AI model performance.

Analyzes GPU utilization and identifies performance bottlenecks during AI model training and inference tasks.

Simulates realistic dart throwing physics within DartSim environments, enabling training and analysis of robotic manipulation.

Generates clear, concise internal documentation and training materials based on provided context and desired style.

This skill trains large language models like Megatron, accelerating AI development and enabling powerful custom LLM creation for diverse applications.

Analyzes user performance data to identify areas for improvement and suggest personalized training strategies.

Provides debugging guidance and assistance for software development workflows.

Designs personalized client onboarding workflows, including emails, checklists, and training materials, to maximize engagement and retention.

Identifies and suggests fixes for Reinforcement Learning Model training errors based on logs and metrics.

Analyzes training logs to identify patterns and areas for improvement, boosting performance and efficiency through data-driven insights.

Provides LLMs guidance and assistance for software development workflows.

Provides LLMs guidance and assistance for software development workflows.

Provides Rust guidance and assistance for software development workflows.