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Rahul Agarwal

Founder | Agentic AI...ย โ€ขย 2m

Getting better results from AI often comes down to how you prompt it. If youโ€™ve been working with LLMs, youโ€™ve probably tried: ๐—–๐—ต๐—ฎ๐—ถ๐—ป ๐—ผ๐—ณ ๐—ง๐—ต๐—ผ๐˜‚๐—ด๐—ต๐˜ โ†’ Step-by-step reasoning, building one step at a time until you reach the answer. ๐—ง๐—ฟ๐—ฒ๐—ฒ ๐—ผ๐—ณ ๐—ง๐—ต๐—ผ๐˜‚๐—ด๐—ต๐˜ โ†’ Explore multiple ideas in parallel, evaluate them, and pick the best path. ๐—ฅ๐—ฒ๐—”๐—ฐ๐˜ โ†’ Combine reasoning with actions, observing outcomes and adjusting along the way. ๐——๐—ถ๐˜ƒ๐—ถ๐—ฑ๐—ฒ & ๐—–๐—ผ๐—ป๐—พ๐˜‚๐—ฒ๐—ฟ โ†’ Break tasks into subtasks with different agents, then combine results for the final output. Each has its strengths: โœ… Use ๐—–๐—ต๐—ฎ๐—ถ๐—ป ๐—ผ๐—ณ ๐—ง๐—ต๐—ผ๐˜‚๐—ด๐—ต๐˜ for math/logic. โœ… Try ๐—ง๐—ฟ๐—ฒ๐—ฒ ๐—ผ๐—ณ ๐—ง๐—ต๐—ผ๐˜‚๐—ด๐—ต๐˜ for creative brainstorming. โœ… Apply ๐—ฅ๐—ฒ๐—”๐—ฐ๐˜ for dynamic decision-making. โœ… Go with ๐——๐—ถ๐˜ƒ๐—ถ๐—ฑ๐—ฒ & ๐—–๐—ผ๐—ป๐—พ๐˜‚๐—ฒ๐—ฟ for complex, multi-step tasks. Iโ€™ve broken them down visually below ๐Ÿ‘‡ Which ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜๐—ถ๐—ป๐—ด ๐˜€๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜† do you find yourself using the most? Repost for others who want to understand this.

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