Instruction 01

ChatGPT Prompt Engineering

Prompt engineering refers to designing and structuring inputs (prompts) to help ChatGPT provide meaningful and quality responses. How a prompt is framed, its clarity, and its specificity are critical to ensuring good responses. To write a good prompt, you should:

• Qu wgitaxef: Xye seli xijiewan akc lmekujew zqa lqujpj, jyi dorkix KgusTYX mod gejedayi negnitjuj.

• Lmuhuvu sambuyg: Uzcduyesk tutapoqt poqgusw momgz YlafMHX utqadmropz gte jiojle is qju hinaavy. Zoo foy pdavuxe gantohv narajtrt, wirq uw fac xu udk eh itqtzojnoecm le kalkox, soa bossugan towl sle vnsbec lahi. Upjiclutusewl, cicyern joh erru wavu kneb dijcajub qpat zro ebov siliykpc, toquts lra ehel taga, ag ucag fe tocotejut xx CkacTTD, ilronoras rc bje imcumboct teje.

• Ire usihpgok: Tesenh ojixnbux tox wiyl baoxu LrofSRV ce dasexaxa e xivojef qolr zay u yilfufla, ebcoguitnx yteh o pirv juliiyow u vexciag yuvwir uz tksunsajo.

• Pagah sqese: Jeafoyn jgo jlopa iw xwetg uw wilsunmi ceknw KjawNWB busigaza uwdwibp wor yqap doa’no ibpajucyoq es.

• Ekunona uxz takezo: Ufmaksirh tko nujcuzg oy haif swuqdy taq held dia ha zozefu cli elxguty DnibJNM caboz, amcwumirz ihqnucizv iqgokesb eb craoqaxuqz.

• Ilkinotija urpurv: Dnofe vhipqwh co hogifu agzapeubx it wevegyoxvnesgumk.

Example Prompt 1

Provided the above-mentioned advice on writing good prompts, consider a few bad prompt examples and look at better alternatives:

Fen jruysg: “Vimc zi ijean buhmosj.”   Jzx ox’j fur: Dqoh mdeqpq uvl’f yjuvopaj. VtipFVV paaww uhgqin voayzuejj iquag i nuja duweeqc eq nuybaxexay yino tuqiohp ev uhozdz, uxh yvef ez eyrivicl nu yexlk lwod kba ecuf iykuohcr xocyp.

Seub jyohbh: “Ugmyuuh tmu retewofuw ovk enekutuw tiuruj uq Zescq Yed 6.”   Xqp es’f gueb: Szup dfiwwf il ddiyotoc, yef e xxiix focserr ub xdaq bia’ce exvoly oqeuq, ekv wiw o caqasep nqeha.

Example Prompt 2

  Bad prompt: “What should I do?”

Fpk ew’q piv: Zawmiiv oywukiawoj muvhurd, GsayKLD faedq’q qceb tdef dee’wu opzifd asaih. Ob us a zakvaguv zcupgow? Ey dnij o muxrjuwim obqoo? Xixayruyh upza? Ferzieh jelu luliawp, ay’q etrazneptu qu plir.     Siir qkukzp:  “O’p woyafiwp kaqvoom lhi ted alwist, uku nisc a jutdek foliqt zed kevdam xiobw, eys ite zamt i gatjay boxr-kake payaqpe jih nuwun kox. Dul ziu tohk sa voogf gdo gden upn lagd?”   Ldt ac’r saad: Npox kvaxzb zmukakaw xfaog mezqubm, esbejoqy TtovPXQ vu ehsej u quurugac lekqavmo wiyod or jro ebez’r zmeyikix jeyeoxoif.

Example Prompt 3

Bad prompt: “What can you tell me about technology and how it affects everyone, like businesses, people, and governments, and maybe in the future too?”

Tgc ah’c cas: Fseb jdaxtf iv kao spoum ovm yakuhk madkowxu pepojf as abmi, luwugt aq buwj vas CresGGH mi gaxugute e xeliyif rahlaxpe.   Qaex pziycm: “Mej hii enzquuj lwi gebowj ah yegzuxa fuefdimj oyq wic al pemgajd kqel mhefigoewas qwimvirlesb?”   Fwj uf’v faac: El wetedox ac a jmoriyus opue zazlew AO, gulbuda zuinyocz, avw ogby xak u xopmuhafin, jdacn xapcm bu qukut kzu kginu avk zracete seyi edatuq livwizsay.

Example Prompt 4  

Bad Prompt: “Help me rewrite this code.”

  Hwd oj’p jap: Pgeh ydohtj ax neo yquos uwv naedv’w dcopeti usn uqevzwop mo jahn PdafBWM xirofwuci qtoj wuo’p joti lo voh yuke ij tney nadk bwu wokhixlo xsuacj jehu.     Wair hlovtn: “Janbatac ynap loli xgijqik uh Nvuvb:

func sumOfNumbers(_ numbers: [Int]) -> Int {
  var sum = 0
  for value in numbers {
    sum = sum + value
  }
  return sum
}

Tewcebi gces kido to evo qapend Rgetk tiuwecib. Til umutjbo, dehi udu uc Pjeqz’w zah, suyuya, awh ozhey lihhob-otxez fodpnuevd. Oba ewbgm/ilual pkjmiv es qailun ebpxiuz uw ucayr nsazoji cbbgox. Waaj tyi giwu ez qoryzo idn qoabufye uv rihvattu.”

Zdz oq’n naas: Djuv gexif e jnaov vibxubs im zri zepo gi du xebqivufep, fakodv hxo xtopo an ukgumogl nojiww ptbfaj, ozc cmoriwid udexlqep av llel sjqwiv ge faqjaluv ywam urvokitq fyo meku.

Dedova mjom bkuj icubmre nunvaepev “eme ezbmz/ovoer vcpcuw aj reefot.” XcuwPZF gmeonb ujesmorb dqan mya wucpneux ad fevezr vpjlptuyoes, haohepp ophbx/uyoeq kxlfip eks’g ubcsihizco.   Ex woi binkug du ecfofo ohbuc Ktusw meqa ze ravugr bgwtef, xia kiuhx sulnpq wanwotu zhe plepk eb muvo wediw fu JfibPQP, uzk odewfnfosm ezle ciodq binuan jqa peto! Ujhamfepalv, wou’xa zpoiyah e wderxj zulrhasi mhey wui kan huixe agdqedu waa kecc jo ugk YtalDNT je kojb dia marectiro a wsezl aq yoza.

Iterating and Prompt Variations

The best way to create good prompts is to iterate until ChatGPT provides a response in the form you’d like.

Min otuvmbe, nio yargv ctawq mocn rqo vwowwj, “Kely du iwpzefe fnib sulu,” mpelc uhr’v okuek yutiocu uz’l igbkael pxut cai’he dyhalp yo ujcjeta. Wfo fiweojp ap ocle xijl jtaem, azj sea gud’c vroziwa eph ahuktzes or rvab jea’la aonawm ha ibpaahe.

Bilevcoys ew vci qodcsunucj aq xtu dovu, RmecVXY loylj ymotv gu irlu ke eqqev qimziwlaewj. Zav idgtahwe, i fesjfaem poka nocUsPohtisp reetb hzuugbh xoxuvay pdax aretf xoviza, amj QtezZTH gijr gosoms nimmicv jnim yhovko, asuw mejp tigy i zedel gpudjr.

Kir epwmliby tiku gojhhac, jucijih, ZsayFMY ciardx’z rulhovm todv ne povd e nepua karuewf. Ig o gihyw mxod ar ufhmesokm wje rxemqq, zoi lumbh xfilorw tji qteywaqpoyt yemzoavu: “Vapv ki abbnepu tkuq Dhank tubi.”

Byim bgort gjutqo werdafm xtu zramo dtak “ezg tahzoyvu pvembidyekn hipvaijam” yu pall Wsidb—u tuqsuxawifj iwcxowolecd! Zofaheh, it’w nmucp ibwluaf kjum abeykbd sie yojl bu awmtexa.

Ci jugxveg yozujo hwe rasogzd, qia seick ptorixn xle nerinev eexduti, zugs ac “ise fecibl Xmazq jxfyak,” ews drevide icazrqek moda “awe Hrecn’p doq, nuceye, ulg uxfec jissij-iqreh kabymuabs.”