Move Beyond Chain-of-Thought with Chain-of-Draft on Amazon Bedrock

This article introduces Chain-of-Draft (CoD), an efficient prompting technique that reduces token usage and latency compared to traditional Chain-of-Thought (CoT) prompting for LLMs on Amazon Bedrock.

• CoD limits reasoning steps to 5 words maximum, focusing on essential logic only
• Achieves up to 75% token reduction and 78% latency decrease versus CoT
• Maintains comparable accuracy while significantly reducing inference costs
• Implementation demonstrated using AWS Lambda and Amazon Bedrock Converse API
• Model-2 testing showed 76% token reduction and 79% latency improvement over CoT
• Best suited for structured reasoning tasks; avoid for creative work or interpretability-critical domains
• Requires few-shot examples; underperforms on models with fewer than 3 billion parameters

CoD offers organizations a practical way to optimize AI costs and response times for reasoning-heavy workloads while maintaining quality.