𝗖𝗵𝗮𝗶𝗻 𝗼𝗳 𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴

𝗖𝗵𝗮𝗶𝗻-𝗼𝗳-𝗧𝗵𝗼𝘂𝗴𝗵𝘁 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗣𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴

Large language models often struggle with complex logic.

Most people use Chain-of-Thought prompting to fix this. You tell the model to think step by step. This forces the model to show its work.

New research shows a different way. You do not need to prompt the model to think step by step.

You can achieve similar results through architectural changes. This method works without adding extra words to your prompt.

How it works:

• The model processes information in stages.
• It uses internal reasoning paths.
• It solves problems before giving a final answer.

This approach saves tokens. It makes your prompts shorter. It reduces the cost of running AI models.

You get better logic without the extra input.

Source: https://dev.to/paperium/chain-of-thought-reasoning-without-prompting-3n91

Optional learning community: https://t.me/GyaanSetuAi