Browse skills

Ensures AI/ML projects adhere to Lee-To's documented best practices for ethical development, performance, and maintainability.

This skill optimizes large language model performance by reducing model precision (bitsandbytes quantization), enabling faster inference and lower memory usage.

Optimizes AI prompts for better results by refining phrasing and instructions – boosting your model’s performance and efficiency.

This skill assesses LLM performance within a harness environment, providing insights for optimization and ensuring consistent results across deployments.

This skill assesses ML model performance across various metrics, providing insights for optimization and ensuring accurate predictions.

Provides performance optimization guidance and assistance for software development workflows.

Langsmith Trace Analyzer dissects LLM traces to pinpoint performance bottlenecks and identify areas for optimization, boosting efficiency.

The Dspy Evaluation Suite assesses and compares different diffusion models’ performance, streamlining model selection for optimal results.

This skill generates diverse embedding strategies for your data, optimizing semantic understanding and improving AI model performance.

Analyzes ship performance data to predict optimal upgrades and modifications for improved efficiency and capabilities.

Automatically establishes baseline performance metrics for AI models based on historical data and industry standards.

Crafts optimized prompts for LLMs to elicit desired responses, boosting AI performance and accuracy for your projects.

Automatically refines model parameters to maximize performance based on provided data and objectives.

This assistant streamlines the fine-tuning process for language models, accelerating development and optimizing performance efficiently.

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

Evaluates large language models based on custom metrics and datasets provided by the user, reporting detailed performance analysis.

Automates vLLM model deployment and scaling across infrastructure for optimized performance and resource utilization.

This assistant streamlines fine-tuning processes by suggesting optimal hyperparameters and configurations for improved model performance.

This skill helps you craft optimized prompts for large language models, boosting response quality and unlocking better AI performance.

Analyzes network performance data using Jacobson's algorithm to identify congestion points and optimize throughput.

Simulates RL environments using UV Miles data for robust agent training and improved performance in realistic scenarios.

Evaluates a core system’s performance against a predefined scorecard, identifying key strengths and weaknesses for targeted improvement.

This skill generates a detailed scorecard evaluating AI session performance based on key metrics, optimizing for better results and insights.

Analyzes ship operational data to predict future maintenance needs and optimize performance using advanced machine learning.