𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴, 𝗙𝗮𝘀𝘁 & 𝗦𝗹𝗼𝘄 — 𝗧𝗵𝗲 𝗔𝗿𝘁 𝗼𝗳 𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴

Thinking Fast & Slow: Daniel Kahneman

Continuing my journey of finding work relevance in the books I read, here’s how 𝘋𝘢𝘯𝘪𝘦𝘭 𝘒𝘢𝘩𝘯𝘦𝘮𝘢𝘯’s ‘𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠, 𝐅𝐚𝐬𝐭 𝐚𝐧𝐝 𝐒𝐥𝐨𝐰’ resonates with prompt engineering in GenAI. Developing GenAI applications doesn’t necessarily require deep technical knowledge of transformers, but it does call for mastering prompt engineering. 𝘒𝘢𝘩𝘯𝘦𝘮𝘢𝘯 introduces two cognitive systems that parallel this process: 𝐒𝐲𝐬𝐭𝐞𝐦 1, our rapid, intuitive response mechanism, is like the “golden prompt”- the well-crafted, precise question that brings the Large Language Model (LLM) to its best answer in one shot. 𝐒𝐲𝐬𝐭𝐞𝐦 2 is our deliberate, analytical mind, which follows a layered prompt engineering process, involving cycles of feedback and refinement, sometimes querying the model to clarify or re-evaluate its answer.

𝐓𝐨 𝐢𝐥𝐥𝐮𝐬𝐭𝐫𝐚𝐭𝐞:

𝐐𝐮𝐢𝐜𝐤 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧: 𝘞𝘪𝘭𝘭 𝘵𝘩𝘦 Ring Road 𝘣𝘦 𝘤𝘳𝘰𝘸𝘥𝘦𝘥 𝘢𝘵 10 𝘢𝘮 𝘰𝘯 𝘢 𝘚𝘶𝘯𝘥𝘢𝘺?

Get Souvik Sarkar’s stories in your inbox

Join Medium for free to get updates from this writer.

Remember me for faster sign in

Without much thought, our minds would say “𝐍𝐨,” knowing weekends usually have less traffic. 𝐓𝐡𝐚𝐭’𝐬 𝐒𝐲𝐬𝐭𝐞𝐦 1 𝐚𝐭 𝐰𝐨𝐫𝐤.

𝐂𝐨𝐦𝐩𝐥𝐞𝐱 𝐈𝐧𝐪𝐮𝐢𝐫𝐲: How much time and money will it take to travel from Whitefield to the Bull Temple, Basavangudi?

Here, 𝐒𝐲𝐬𝐭𝐞𝐦 2 𝐤𝐢𝐜𝐤𝐬 𝐢𝐧. We pause to consider the variables — travel mode, routes, fuel price, and last-mile connections. We may even ask additional questions to clarify details. 𝘞𝘪𝘵𝘩 𝘱𝘳𝘰𝘮𝘱𝘵 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨, 𝘪𝘵’𝘴 𝘰𝘧𝘵𝘦𝘯 𝘢 𝘮𝘪𝘹 — 𝘴𝘵𝘢𝘳𝘵 𝘸𝘪𝘵𝘩 𝘢 𝘚𝘺𝘴𝘵𝘦𝘮 1-𝘴𝘵𝘺𝘭𝘦 𝘱𝘳𝘰𝘮𝘱𝘵, 𝘢𝘯𝘥 𝘳𝘦𝘧𝘪𝘯𝘦 𝘸𝘪𝘵𝘩 𝘚𝘺𝘴𝘵𝘦𝘮 2-𝘪𝘯𝘴𝘱𝘪𝘳𝘦𝘥 𝘪𝘯𝘵𝘦𝘳𝘢𝘤𝘵𝘪𝘰𝘯𝘴.

The LLMs responds not only to what we ask but how we ask it, building an iterative exchange that’s as dynamic as human thought.

#GenAI #Reading #PromptEngineering #ThinkingFastAndSlow #AIProductivity #LearningFromBooks #AIinWorkplace #AIApplications #ContinuousLearning

Originally published at https://www.linkedin.com.