Kya AI Copywriters ko replace karega? AI Content Writing ka Vikas aur Bhavishya

Jaise text generation aur machine learning mein pragati ho rahi hai, yeh bahut charcha ho rahi hai ki kya content writers ko AI copywriting tools ke dwara replace kiya jayega jo autocomplete functionality dete hain.

GPT-3, Rytr, Jarvis, Shortly, CopyAI, Frase, etc. - naye products ki list jinhone autocomplete market mein entry ki hai, asanj hai. Sabhi products mein "Write for me" button hai. Aap us button ko click karte hain, aur ek paragraph text ka prakat hota hai.

Yeh lagbhag jadoo jaisa lagta hai.

Ek artificial intelligence researcher ke roop mein, maine pichhale 5 saalon se is shetra mein breakthroughs ka pichha kiya hai - aur yeh dekha hai ki kaise kuch jo aapke text messages auto complete karne ka tareeka tha, ab ek technology mein parivartit ho gaya hai jo lagbhag poori novels bhi likh sakta hai.

Lekin kya iska matlab hai ki AI copywriters ko replace kar sakta hai - kya manav lekhan prachin ho gaya hai? ‍Jawaab thoda jatil hai.

Us prashna ka uttar dene ke liye, humein pehle parda uthana padega dekhne ke liye ki content likhne ke liye autocomplete waakayi kaise kaam karta hai. Us jaankari ke saath, hum is artificial intelligence technology ke trade-offs ko samajh sakte hain, aur pata laga sakte hain ki kya copywriters ko market mein in AI writing tools se kuch chinta karni chahiye.

Content Writing ke liye Autocomplete ka Vikas

Sabhi naye artificial intelligence breakthroughs jaise GPT-3 ka shor-sharabah ke saath, ye bhoolna aasan ho sakta hai ki predictive text technology (autocomplete aur autocorrect) ne kaise decades ke dauran vikas kiya hai.

Haan, yeh aapke purane iPhone 5 ka feature hai jo aapko "iz" se "is" autocorrect karta hai, aur yeh bhi hai kaise Google aapko (kabhi kabhi hilarious) aapki search ke liye completions suggest karta hai.

Aapke Liye Likhne ke liye N-Grams par Ginna

Aap hairaan ho sakte hain, lekin autocomplete technology ko 1948 tak khoja ja sakta hai. Tab se, isne content writers ko unki likhne ki spell check aur sudhar mein madad ki hai.

Chaliye dekhein autocomplete ki sadha origin story.

Anyk initial autocomplete systems ek bhasha model concept par adharit the. Ye basically aisa model tha jo pichle shabdon ke itihaas ke aadhar par agla shabd bhavishyavani kar sakta hai.

Sabse pehla bhasha model, pehli baar referenced kiya gaya by Claude Shannon, ko n-grams model kehlaya gaya. N-grams ka ek application yeh tha ki yeh bhavishyavani kare ki aapke likhte samay kisi shabd sangrah ka kitna sambhavit hai prakat hona.

Toh udaharan ke liye, agar aap "Can you please come" likhte hain (yani itihaas ke shabd), toh n-grams model bhavishyavani karega ki agla shabd "here" asambhavit hai (udaharan ke liye, 80% chance). Aapka phone phir aapko aapke vaakya ki poorti shabd "here" ke saath pradan karega.

N-Grams ko kaise pata chalta hai ki kaun se shabdon ki sambhavit hai?

Aap ek n-grams model bana sakte hain, bas itna ginna ki kitni baar vaakyansh "Can you please come here" ek high-quality text ke corpus mein prakat hua (jo bhi training data kehlata hai). Agar ye vaakya bahut baar prakat hota hai, is ka matlab "here" ek samuchit poorti shabd hai - anyatha, yah ek apsambhavit vaakyansh hai.

Yah avashay kati sabhi sambhavit vaakyanshon ko corpus mein, aur yah ek "ganana ka ank talika" prakat karata hai.

Upar wale udaharan mein, pehli pankti ki sabse uchit ganana hai kyunki yeh manushya dwara likha gya bhasha mein adhik ho kar prakat hota hai. Aakhri pankti esoteric angrezi mein likhi gayi hai aur aadhunik bhasha mein bohot adhik nahi hoti, isliye iski ganana adhik nimn hoti hai.

Is talika se, jab bhi koi likhta hai, toh karyakram is ganana talika ko dekhega ki kaunsa vaakyansh prakat hota hai sabse uchit ganana ke saath. Ye sabse achhi match essentially prediction hai ki agla shabd kya hona chahiye. Is match se program aapko sambhavit sambhavnsha ka anuman lagata hai (udaharan ke liye, 80% sahi poorti ki sambhavit avidita corpus ke aadhar par).

Auro sab ho gaya - bohot se autocomplete tools ke jadoo ka saral tatva ginni shabdon ko hai!

Bohot sarhi saral tashkent mein, yeh hi tarika hai ek model banane ka jo di gayi history words ko ek kram mein sabse samuchit agla shabd predictor karega. Yeh autocorrect aur autocomplete systems ke kaam karne ka aadhar hai.

Toh kya copywriters kabhi ek n-grams model dwara badal diye jayenge?

Bilkul nahi.

N-grams mein ek maulik samasya hai - yeh bhuli bhasha ko ek dam se dikhata hai. Sadharan shabdon mein kehne par iska matlab hai agar aap bahut data rakhte hain, aapka table bohot bada ho jata hai. Yahi jahan neural networks jaise GPT kaam mein aate hain.

GPT ke sath ek talika se aage badhna

Aaj jo hum istemal karte hain woh n-grams model se bohot door aa gaya hai.

Modern artificial intelligence ke autocomplete mein neural networks ka reliance hai, jo n-grams models se kahi zyada saksham hai. Yadi ki yeh zyada sophisticated hai, neural networks wahin maulik siddhant mein reh rahe hain - aankh mein ginni.

Saarvsar GPT-3 (Generative Pre-trained Transformer v3)  ek bada neural network bhasha model hain jisey OpenAI ne vikasit Kiya aur hal hi released autocomplete likhne wale tools ke peeche ka dhacha hai. GPT-3 natural language processing (NLP) mein badi pre-trained neural networks ki taraf ek gati ka hissa hain.

GPT-3 ke sath, aap aalas se table mein sabhi sambhavit vaakya nahi rakhte, balki uska ek comprehensive sanghu neural network ke weights mein rakhta hai. Yeh humein model ko adoniyon ke vaakya aur sentence pe train karne ki ijaazat deta hai jo akele table mein fit hone ke liye asambhavit hota.

‍Toh GPT-3 kaise aapke liye likhta hai?

Bilkul n-grams model ki tarah, jab aap ek shabd ya vaakyansh likhte hain, GPT-3 samay se prakat hone wale shabd ko predict karne ki koshish karta hai us text ke corpus ke aadhar par jise usne trained kiya hai.

Lekin wahan hi khatam nahi hota. Jab yeh anuman lagata hai agla shabd jo aap likhne waale hain, yeh loop mein karta rehta hai aur agle shabdon ko predict karta hai jab tak yeh ek paragraph likh nah de. Is tarah se yeh aapke liye ek paragraph "generate" karta hai.

Lekin theriye - agar sab kuch GPT-3 probability ko previous likhit content se deri hai, iska matlab hai kya GPT-3 bas wahi repeat karta hai jo usne padha hai, ya woh waakayi creative hai?

Yeh ek tricky darshanik prashna hai jo aaj AI dwara generated content par charcha mein rahta hai.

AI content writing par misconceptions

Kya AI Content Writing Creative Ho Sakti Hai?

Bohot se stapakon ne note kiya hai ki GPT-3, jaise sabhi AI models, sirf wahi text generate kar sakte hain jo unhone pehle dekha ho. Unka kehna hai ki AI writing creative nahin hai aur yeh tools sirf achhi tarah se regurgitated content ke liye accha hai.

Jab tak yah drushti ba saamayik satya thi, ab yeh puri tarah na sahi hai.

Kehna aasan hai ki ek n-grams model 1948 ka bas prakat hua content ko repeat karta hai udaharan ke liye jab usne literally uske prashikshan data ko ek table mein rakha aur "generate" karta hai text jise woh dekh chuka hai.

Lekin kyonki GPT-3 uske prashikshan text ka ek highly efficient compressor hai, woh likhit content ke niyamon aur patterns ko develop karne ke liye majbur hota hai - woh hamesha us sentence ko nahi yaad rakhta jo uske prasikshan data mein uski memory mein hota hai.

Jab ki kuch sentences verbatim generate ho sakte hain, jo utpadan novel hai. Ek jaldi Google khoj aapko dikhayegi ki adhikansh generations asli hain.

Lekin, yadi aap maanate hain ki GPT-3 (ya koi bhi AI model aur AI Tools) asli writing upanaya hai ya nahi, yeh vichar-vimarsa ka swabhaava hai, aur yeh asliapan asliapan ke tor par aap kaunse prashna poucha jaunga hai. Antata uvikvahi mahaan karyon se seekha tha aur Shakespeare se spin-offs banaya, isliye kya sach mein human prakatut ya kisi bhi qisam ka aslin wahi tha?

Jab se modern AI ka naam nispadit kiya gaya hai ki woh utpadan kar sakta hai jaisa ki bahar hai magar yeh surprises dikhane wale text hetu hota hai.

Yeh aapko likhit content mein se sarvashreshth AI dwara generate kiya gaya text ginnarate karna hoga, hairan karne wale ke saath-writers block ko todhna ke liye mul roop se istemal karne ke liye sahi avakah likhna.

AI Content Writing ko kya bhavna ho sakti hai?

AI content writing ke chintaon mein se ek yeh hai ki yeh soulless, unemotional text nikle ga.

Yeh ek aur aisi phehlaavat statement hai jo nuances mein kami rakhti hai - aur yeh shayad science fiction notion se aakarit hota hai AI ko tin-can robots ke roop mein bina feelings ke sochna se.

Phir se, simple AI models jhaise n-gram shayad bhaavnaatmak text nirmat kare kyonki isme pratinidhitva shakti ki kami hai - isme yeh prakratik sima hota hai usme kitna seekhne mein saksham hai.

Lekin kyonki GPT-3 ek achi matra mein text ki context ke sath seekha gaya hota hai, yeh aksar bhavna aur tone likhne mein nirmaata hai. Iska matlab agar aap ek vaakyansh jaise "I'm feeling sad today," likhen "I'm feeling sad today," AI model us likhne mein is bhavna ko pratinidha karne ke liye sabse uchit shabdon ka avakash ki khoj karke dega jo likhit text hai.

(Upar jo paragraph aapne padha woh poori tarah Jenni AI dwara bina sanshodhan ke autocomplete kiya gaya tha. Isne pichle paragraphs se mere tone aur writing style se milno seekha.)

Ek adhyayan jo ICLR 2020 mein published hua hai woh dikhata hai ki neural text generators aksar sada patang ke jaise hota hai aur shuru kar dete hain. Lekin parroting kya having emotion ke jaisa hai.

Vivid copywriters ko apni lekhi tone aur emotions ka poori tarah dhyan rakhna hoga. Jab tak AI ya manavii bhaavna ka vishesh anubhav nahi rakhti - yeh nahi hai ek embodied intelligence.

Yaad rakh, jaise n-gram models, GPT-3 internet se prYakshikyaited content dwara formed bhasha prashikshan karti hai, jo asliyat mein ek manav copywriter dwara produced.

Isne nahi dekha vha kuch jo ek prakritik isa kiya - yeh nahi wata sakta hai ki cheeseburger kaisa taste karta hai, na shariirik duniya ke galat sawalon ka sahi jawaab de sakta hai, jaise "Agar mein cheese fridge mein rakhta hoon, kya yeh melt hongi?" ke tareekar main - OpenAI ke anusaar, yeh nahi dekha gayaa kisi aur prakritik isa kiya.

Iska yeh arth hota ki humko content writing ke liye AI ka labh lene ke liye samay se pehle avakshyaik neev dekar instruction aur pratiposthum feedback prdhan karna prashikshan karna.

Kyon AI + Manav Content Writing ka Bhavishya hai

Yeh khraabr nonlinear hone wale sanshayons ko advanced and uptendence AI content writing proof?

Ulta, mai bhavisya ki rameet ko utaitan karta hoon.

1996 mein, jab IBM ke AI system  chess ki khel mein jeeta tha, yeh kaha gaya tha ki chess ka khel sAdhan aur chess khel players mein nahi honge.

Lekin, jo hua tha woh dikhaya ki log AI ki chaale ko adhayan karti hui ab nau rin khel ki shuruaat hui thi. Is phenomenon ka ek jaabane aur phenomena AlphaGo from DeepMind Se barde bana, 2016 mein dunia ki sabse acchi khel Silver.

AI mein safal ka matlab hota hai manav sach mujh mein samay mil sakti hai - ya in shift uncomfortable ho sakti par yeh hum us therpan ko rakte hai jahan hota hai. Agar AI humanisation pe certain tasks ke roop mein vijayi nahi hota, tab manushya ko good generalists hona ahan chahiye, aur hum AI milaana sikhte hain jo hamen samay se zyada productivity banna hoti.

Yeh baat sahi hai content writing ke liye, jahaan aap copywriters ko har hafta compone karmapurnadi karni piche se terms se learning - company ki thinking or marketing strategy, unke audience samajhna aur prist or connected ho sakta hota.

Isi hi mere parivartan hone waale bhavisya mein kahna padta hai jahan humein sabil yang wa baatein mil sakti hain use "AI aur Manav sse lingu ".

Kya Copywriting kal obsolete hoga?

Bleep and zigzag technology with exponentially advancement ki ya content writer, kya pata na hoon - aapristhay hai?

Agar, language model changes hai over the years, toh yah spast hai ki AI better hota ja raha hai autocompleting text improvement.

Ke  perplex (measurement error) AI ke saath ek benchmark jaisa ki WikiText-103 hona tha jo 3 saalon mein 40 se 10 pirkaaya - yeh ek 4x improvement hai!

Is exponential growth ko dekhkar, agla 5 saalon mein hum 10x improvement aur expect karte hain autocomplete je technology ki kushalta ke liye.

Uska matlab agar sab jo aap SEO content writing mein manage kar rahe hain, jaise low-value kaam uttar hap ho, dhora dhainn content likhna, filling in templates, copy/pasting listicles ch ek dusro ka content na, to jawab hai han aap badalne wale hain.

Serious aur passionate copywriters ke liye iska kya matlab hai?

Mujhe likhne ke liye mat likho

Ek kaaran jiske roop mein hum typewriters ab istemal nahi karte. Yeh content writing ke liye task nahi hai, char...yochar...char...pilili lekhan karta dekhta hai.

Ek kaaran jiske roop mein hum grammar ko manually nahi check nahi karte. Kyunki grammar ek sakaarta hai aur yah aapke content ke asliyat nahi hai.

Search intent satisfied searches lekh subject matter experts ke roop mein aapke particular n khaam track audience ke prati new ho aisa underdog rights. Yeh aapko readers vaapas aanevaale hai aur internet parab bole jaayengee aur will help article search engine rankings.

Despite all these evolutions how we in technology, ab main content-rakhne wale ko nazariye ke poori tarah aur augmentation ke badle replacement Mahatvapurn haikehte hain.

Agar AI yah yeh low-level kaam hote hain, to Maanav copywriters ke roop mein aap must methods shift ke concept perform karna higher practice work. Is samay goli letein aur kis material content ho rahi.

Aapke 7.5 million blogs are published Six aur aapka rakhne wala content i defect kahin to stand ho chahta hai

Aapki naukri hai aapke marketing strategy, audience aur content ke beech ke junction ko connect lIhana - unique information, research ya ideas lana - aur aapni kahani jaise baatein batyae jo already nahi hui kahi. Aisi kahani jo manchchurat detection aur aapke readers ko keep end ki kahani batch engaging ki dig ki.

Uska matlab hai likhna bhi nahi write likhna aur story telling ki kala main mempardahan hai k unnarthy aashrthap hoti.

Humen yah likhne ke liye AI par nahi, par likhna letter ke liye withó huma.

Agar aapki naukri niyaay pavitra reader ko samvedna rakhna ki likhne expertise se sustainable content banaana hai aur aapke audience ko tappa milne local - aapki bhumika cahatamaht soon rahti hai.

Kaise Jenni madad kar sakti hai

Jenni mein, hum madad leaflet yah hai AI aur humans integration/building ke sath ache apprentice feeling recognition ke sath spacious kar rahe hai - aur isliye humne GPT-3 based ek autocomplete system carefully designed kiya hai taki woh aapke raaste mein na aaye, lekin content creator in the driver's master's degree.

March 2022 se, humne likhne functionality ko "Write for Me" "bnd karne ka kirsien kar diya - latest jo button aap press kar rahe hain aur yeh magically aapke liye paragraph likhne hai. Shocking!

Yah isliye ke humein dikhaya gaya hai maadhay user case studies - over half of new users jo "Write For Me" button den kar ke ~80% driven by random produced content ka maanal - jo adhikansh yah low kadarik tha.

Is button ke easy sabot ka motif - yeh waste create kar sakti hai spam ke, aur aapki kahani aapko daisati patt gaya aur rakhna aapke reacherska author rakhne yah warth.

Instead, side aapko editing ke Jennikhanda karega aapko actively "suggestions" yahwhile likhte rahe aur aapke content creation process ke sath seamless agrann policy dhikta hai.

Yeh amazing help karega kisik aussi kisi peéesness ki—kis writer—ke liye, aur yeh aapke kaam ko phir shauk aur passion lekar aayega crafting content gjort izyahan.