Performant AI Skill

Goal

Optimizing the interaction, speed, and cost-effectiveness of LLM-based systems by mastering context management and inference strategies.

Capabilities

1. Context Window Engineering

• Context Pruning: Implement logic to remove irrelevant or redundant tokens from the prompt to fit within limits and reduce cost.
• Summarization Chains: Use "recursive summarization" for long conversations or documents.
• Observation Masking: Hide older or less critical data to keep the attention of the model on the immediate task.

2. Efficient Prompting (Latency & Cost)

• Few-Shot Optimization: Minimize the number of examples to the bare minimum needed for accuracy.
• Output Structuring: Use JSON mode or structured outputs to reduce parsing errors and retry loops.
• Prompt Compression: Use tools or manual techniques to shorten instructions without losing semantic meaning.