
Repeat After Me: Simple Prompt Trick Supercharges LLM Accuracy
Google Research's new paper reveals that repeating prompts can significantly boost accuracy in Large Language Models (LLMs) for tasks not requiring complex reasoning, improving performance across models like Gemini and GPT-4o by up to 76%. This simple technique, leveraging the Transformer architecture, addresses the "causal blind spot" and offers a no-cost method to enhance LLM output, suggesting a re-evaluation of complex prompting strategies.


















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