Founder | Agentic AI...ย โขย 2m
Getting better results from AI often comes down to how you prompt it. If youโve been working with LLMs, youโve probably tried: ๐๐ต๐ฎ๐ถ๐ป ๐ผ๐ณ ๐ง๐ต๐ผ๐๐ด๐ต๐ โ Step-by-step reasoning, building one step at a time until you reach the answer. ๐ง๐ฟ๐ฒ๐ฒ ๐ผ๐ณ ๐ง๐ต๐ผ๐๐ด๐ต๐ โ Explore multiple ideas in parallel, evaluate them, and pick the best path. ๐ฅ๐ฒ๐๐ฐ๐ โ Combine reasoning with actions, observing outcomes and adjusting along the way. ๐๐ถ๐๐ถ๐ฑ๐ฒ & ๐๐ผ๐ป๐พ๐๐ฒ๐ฟ โ Break tasks into subtasks with different agents, then combine results for the final output. Each has its strengths: โ Use ๐๐ต๐ฎ๐ถ๐ป ๐ผ๐ณ ๐ง๐ต๐ผ๐๐ด๐ต๐ for math/logic. โ Try ๐ง๐ฟ๐ฒ๐ฒ ๐ผ๐ณ ๐ง๐ต๐ผ๐๐ด๐ต๐ for creative brainstorming. โ Apply ๐ฅ๐ฒ๐๐ฐ๐ for dynamic decision-making. โ Go with ๐๐ถ๐๐ถ๐ฑ๐ฒ & ๐๐ผ๐ป๐พ๐๐ฒ๐ฟ for complex, multi-step tasks. Iโve broken them down visually below ๐ Which ๐ฝ๐ฟ๐ผ๐บ๐ฝ๐๐ถ๐ป๐ด ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ do you find yourself using the most? Repost for others who want to understand this.

Authorย โขย 8m
Iโm looking for ๐ฎ ๐ฟ๐ฒ๐บ๐ผ๐๐ฒ, ๐๐ผ๐ฟ๐ธ-๐ณ๐ฟ๐ผ๐บ-๐ต๐ผ๐บ๐ฒ ๐ท๐ผ๐ฏ ๐๐ถ๐๐ต ๐ณ๐น๐ฒ๐ ๐ถ๐ฏ๐น๐ฒ ๐ต๐ผ๐๐ฟ๐ (โน๐ฎ๐ด,๐ฌ๐ฌ๐ฌ-โน๐ฏ๐ฌ,๐ฌ๐ฌ๐ฌ ๐ฝ๐ฒ๐ฟ ๐บ๐ผ๐ป๐๐ต) & ๐ณ๐ฟ๐ฒ๐ฒ๐น๐ฎ๐ป๐ฐ๐ถ๐ป๐ด ๐ฟ๐ฎ๐๐ฒ๐ ๐๐ฎ๐ฟ๐ ๐ฏ๐ฎ๐๐ฒ๐ฑ ๐ผ๐ป ๐๐ต๐ฒ ๐ฝ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐ ๐ฎ๐ป๐ฑ ๐๐ฐ๐ผ๐ฝ๐ฒ
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