LLM Instruction Placement in Prompts — It Matters a Lot! ⭐
We use cookies to enhance your user experience. Clicking 'Agree' indicates your consent to the use of cookies. Summary The article discusses the significant impact of instruction placement within prompts on the performance of large language models (LLMs), with a focus on the Gemini 1.5 model. Abstract The article titled "LLM Instruction Placement in Prompts — It Matters a Lot! ⭐" explores the nuanced effect of where instructions are placed within prompts given to LLMs, particularly Gemini 1.5. It presents an analysis demonstrating that the placement of instructions can greatly influence the quality of responses from LLMs. The study uses a "Needle in the Haystack" evaluation framework to assess the impact of instruction placement on the LLM's ability to extract specific information from a large body of text. The findings reveal that for prompts exceeding 2000 characters, placing instructions at the end rather than the beginning leads to substantially better performance. This insight is
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