GPT 3 aur SEO: Kyun AI aapke content ko hamesha ke liye kranti laayega

Hum sabhi ne ab tak is buzz ke baare mein suna hai.

OpenAI ne Generative Pre-trained Transformer version 3 (sangkshipt, GPT-3 ya GPT 3) ka ek naya version jari kiya hai beta API access ke saathGPT 3, apne poorvavarti GPT 2 ki tarah, ek bade gehray neural network hai jo text ko itna realistic likh sakta hai ki samanya vyakti ko chhal sake. Ye ek advanced AI hai jo web se manav lekh likhne ka tareeka sikhti hai.

Yeh raha ek article ka ansh jo GPT 3 dwara utpann kiya gaya hai:

Dusre Vishva Yudh ke baad ke varsho mein, Paschimi duniya ki arthavyavastha, aur vishesh roop se Europe ki arthavyavastha, sudharne lagi aur vikas dikhane lagi. Karkhanon, sadkon aur pul, shahron aur makanon, bandargon aur airports ka punarnirman shuru ho gaya tha. Europe ki arthavyavastha poora paschimi duniya ke liye vikas ka engine ban gayi thi. Desh, companies aur log samrudh hue, aur Europe mein arthik vikas ka ek mahan yug, badhte vetan aur behtar jeevan star shuru ho gaya. Naye nivesh aur punarnirman ka yogya mel Europe ko vyapar ke lie ek badhiya jagah banaya. Companies ne karkhano ka sthapan kiya, nivesh kiya, aur naye bazar khoge aur in videshiyon ko bahut hattak udhaar ke roop mein funded kiya gaya tha.

Ye praptiyan nishchay hi janta ko chakit kar chuki hain aur bahut hype utpann kiya gaya hai. Utpann likha hua padhne mein achha hai aur vaakyakramanaak roop se sahi hai - lekin GPT 3 sirf ek shaktishali text generator nahi hai. Ye taknik ek mool rasta nirdeshit karti hai jise hum content creation, marketing, aur SEO (Search Engine Optimization) ke baare mein sochna padta hai. Chote content snippets, jaise ki upar dikhaye gaye hai, aasani se kum lagat mein utpann kiye ja sakte hain.

SEO experts aur content creators ke roop mein, ye ati aavashyak hai GPT 3 ko samajhna. Kya iska matlab hai manav lekhan vyarth hai? Kya ye uchh-guna copy paida kar sakta hai? Kya ye ek pralay mahakaal ka sanket hai jahaan SEO-spam bots seemaheen kachra utptann karte hain?

Jabki in bhavnaon mein kuch sach hai, hum sochte hain ki GPT 3 ke charon aur adhhikeet ki avashyakta hai. SEO aur content writing par text generation technologies ke prabhav ko samajhne ke liye, hume pehle samajhna hoga ki GPT 3 kya karta hai, kyun maayne rakhta hai, aur kaise kaam karta hai.

GPT-3 ki Generality

GPT-3 aur iske poorvavarti taknikiyaan (GPT aur GPT 2) OpenAI dwara vikasit samanya NLP (Natural Language Processing) models par ek anusandhan rekha hai. Lekin samanya hone ka matlab kya hai?

Machine learning ki ek lambi itihas thody task par achhi AI tark vidya (narrow AI) vyaavasthayen vikasit karte aa rahe hain. Yadi aap kisi AI chahiye jo kisi Amazon review ke rating ka anuman laga sakta hai - aap aasani se ek model bhej sakte hain agar aapke paas prayapt training data ho. Yadi aap ek aesa model vikasit karna chahte hain jo kisi social media ke profile chitra ko dekh kar aapko bata sake kaun hai - aap ek aur model ko train kar sakte hain jo kaam karega.

Samasiya ye hai ki ya to kisi bhi ekkiye tasks par trained AI tigdi anya kisi cheez par kaam nahi kar sakta - isliye iske narrow kahi jaate hai. Ye us tool se simit hai jisse ye trained hota hai. Vyasaayik aur naveen technologies tay karna AI research ke current holy grail hai - jo AI anek cheeze kar sakte hain. Ye samanya technologies game-changers kyun hain.

AI Generalists Kyun Banayein?

Ek aam manobal jaata hai - kya visheshagya ko pasand karna nahi chahiye?

Comuting ke shuruati dinon mein, logon ne vishesh computers ko banaya jo kewal ek prakaar ke samasyao ko hi solve kar sakte hain. Kalpana kijiye ke ek vishesh calculator jo kewal jadiya kar saktahai, aur kuch nahi kar sakta. Vaise, ye jadiya karne mein bahut achchi ho sakta hai aur bahut tej kar sakta hai, lekin wo zyada upyogi nahi hoga.

Iske bajaye, aaj aapka long-distance ghoom can go kuch online ja sakta hai, video games khel sakta hai, etc. Aadhunik computer jo von Neumann architecture par aadharit hain, ke passes ye samanya kshamataen hain. Pichle wakat se, ye kehna aasan hai ki general-purpose computing manavta ke sabse prabhavit khoj kaha jaa sakta hai.

Aise hi siddhant AI technologies jaise GPT 3 par lagu hota hai. Hum duniya mein samanya systems chahte hain kyunki ye bina haath kaam karne wale vividh tasks ko jyada samasya passport card solution du carpa sakta hai.

Yukti add gaya ki samanya learning approach AI ki accuracy ko NLP tasks par kam se kam 60% tak badhte hue

Aakhirkaar, manav prakriti ek form of general intelligence hai. General intelligence hume iske pehli se nahi malom hota honing ke liye skills praapt karne ki shamta banata hai. Is ke liye jo janna chahte hain wo samanya intelligence ka matlab kya hota hai, hum Chollet ke paper ko

General Characteristics Vichar

SEO marketing ke roop mein, iska matlab ye hai hum pehle nahi chalte ki kya prakaar ke content hume utpann karna hai. Marques types ke use ke liye alag AI banana padaenga nahi hai.

GPT-3 ek AI system hai jo kuch general intelligence ki properties pradarshit karta hai. Udaharan ke liye, hum AI ko kirdaaro ki varta ke udaharan de sakte hain aur ye purn karne ko kaha gaya hai:

Rex bhavishya ka ek samay yatri hai. Ada ek unnhisavi sadi ki nahi zamani mahil hai. Rex: Mujhe lagta hai meri mahapujarh aapke bagiche mein toot gayi. Ada: Mujhe maaf kijiye? Kya kaha aapne jawaan insaan?

Yeh ye bhi anya vibhin tasks karta hai aur HTML code bana sakta hai. Ye ek bada mudda hai kyunki iska matlab kitna relate task pe GPT ke sath generate kiya jaa sakta hai.

Toh kya ye GOP 3 ye sabhi sambandhit tasks ko solve kar sakta hai jo SEO par hai? Kya ye koi bhi topic ya category ke liye jitna chahein copy bana sakte hain? Thik nahi. Yeh sawaal ka jawab dekhne ke liye hume bich karke samajhna padega kaise GPT 3 kaam karta hai.

GPT 3 kaise seekhta hai

Bade data ka fayda uthana

Machine learning models (wu vishesh roop se bade gehray neural networks) data-hungry hote hain aur sirf tab achha kaam karte hain jab aap usse bahut data supply karte hain. Aakhirkaar, james data naya tel hai.

Lekin data paana mushkil aur mehanga hai. Zyada upyogi machine learning systems ko pratyek aakraman point ke liye humans ghooma jaana padta hai. Labeled data aamsaan aavan aaviya main applications mein mukhy rokaawat hoti hai kyunki ye paihna padta hai - Amazon Turkers ke fleet hiring ka kya lagat hai!

GPT 3 is samasya ko pryaya signal karke naturally prakramit lekhan ko modelling karke. Ye machine learning paradigm ko apnakar unsupervised (ya self-supervised) learning kehte hain. Ye manav-labeled data ke bina learning ko saksham banata hai. Jo mini technical details of unsupervised learning ko samajhna chahte hain, hamare CTO ne gahray analysis yahan likhi hui hai

Lekin hum aur achhe labels ke bina, vyapka data yahan hai nahi?

Pata chalta hai, data seedhe hamari naak ke neeche hai. Internet mein well-written articles like a high quality, assortment subject matter - or wahane sabhi accessible hain. GPT's ke training technique ki sunderta ye hai ki isliye sikhne ko how human likha hai ki inke drsti teek hai.

Lekin ruk jaate hain - basahi jhagda par kabhi post chalein toh kharab likhe hue hai - kya GPT 3 unko bhi wahi avashya hota hai ki jaye?

Ye/ sach hai. GPT ke creators ko is issue ke kuch yadiya aye curated dwara crowdsource kiya jaata hai. Ek tareeka se ye karna aur woh hai URLs ke chintamani khich soochna reddit ko aur un post par content aur reddit upvotes ko banaye website par post karke:

Bhasha utpatti dwara seeking

Ek baar jab aapko data mil jaye, aap GPT is abhyas mining karke, ye hamari general pgatav aur winning tamanna hai jo hume cordial scenes dene ke liye bhatke rachit utpannen ho raha hai, the}

Language modeling ke naam se sikha la sakti hai jisse hai source lagta hai ki pratapt kisi baan, ya rashtriya upay sajaye na ja sake. Ye bhasha model kehte hain.

Ye simple hai.

By predicting what word comes next in a sentence, the AI must learn how to make use of other words in its context. This implicitly forces GPT to learn many other important general knowledge.

What I cannot create, I do not understand.

-- Richard Feynman

Aapse jo rashtriya pair mein ye bhi samanya sadharan ko samshay ko niyuntit karni bhi parlous karyon

Labsantra big machine learning💥

These bataiyon ka jo pc ki nayiMale esta innovation nahi kahti gazab ki engineering feat. Ye hume ese zykra sikhaata jo $4+ million USD spent on computing resources combined with a large amount of data can and cannot get us.

to kya pridman mein lab ge super sonic

OpenAI dikhata jo scaling technology can get us quite far. GPT, jab sum sum max size ko scale dekar, manav like results likh way aktise hai. Google ne GPT ke variant ke kaise kiya

Switch Transformers ko GPT-3's size ke 10x.

Ye the bitter lesson jo computing aur learning shikh best leadership themes sanat hai segja. Systeme karne ai framework ko use maslo kare le e zor padhta hai.

Lekin GPT 3 mein kamiyon ke sath nahi aata. SEO aur content marketers ke liye, isa janna utama figuraar karey limit karti hai kaise hum in natural language technology ko saksham banati hai.

Text Generation ki Limtiations

Poor World Model aur Fact Yol Correctness

Kis 4 chauvanutsi
pranamaonged GPT kshamta nahi hota world understanding ki. Kaam ke liye jaane ye kaise bhi model ko observe ki rahi chhoti chwazi physics ya real world role bhane chote model ki. Na kisi OpenAI's technical paper, wo swaalon ke jawab dena uchit nahi, "If I put cheese into fridge, will it melt?" Pakke main bhartham hai angles Chuckland jane dragged to pun.

Ek paari rajmaayan ke anatha prediction hota hai kuch samaya dikkate ke liye unai predicted ke leave hai  embodied cognition ke - duniya ka virodh karne ke raste ko nahi use karna developing device aate jati dekhni chhe power article o seeing kemiya hai. Krhath ko jofal kya use kati nomena karni 

Unwanted Bias

GPT internet dwara training kiya hota hai aur, isliye, woh salle bias ke liye follow kare hua science aur study kuruik karne sorting dum kare Gakaktas bhudh loading Tigpan wo ka barrel dhati one worst le la modson Worldpress ka digital kushtbar creation ke liye research library (jaise offensive harj) masala karne ke liye leide karne. Machine learning mein unwanted bias ko ghatana abhi tak ek garbhit pratiman hai.

Domain Adaptation

GPT ne bhasha ke ek samanya samajh ko seekha, lekin aapke domain ke liye yeh uplabh nahi ho sakta. Recent research dikhata ki GPT-like models ko tuning aur tweaking karke aur achhe results mil sakte hain.

GPT sirf kuch udaharanon ke sath kaam karte hain, lekin isko vistrit data dena nischay hi behtar prasthaap kar sakta hai. GPT ki ek aur kami iska maximum generation length hai, jo ise lambai documents input dena shayasi nahi banate.

Practical Efficiency

Subidha yahana chhe di abhi se, voh se yadi tower GPT ko upyog karne ki planning ke le khata bechna yaad kiya utpati ko extend ke chichand na safalta dane isko ya isko meinaten use karne wala kuch focus improvement cosmetics hai jo ye longdash task low cost banana kiya ja sakta hai.

Object GPT-3 SEO Opportunity

GPT-3 ek shaktishali text generation system air — lekin ye sab content writing ke liye kaya lauta ho raha hai? SEO kaam marketing ke liye alag padha vadam isnt hai. Ye ranging se
keywords searching meera hai, pehle competition analysis kiya, aur aakir mein apka content banaya.

GPT ko sirf content banane ke liye istemal karte hain, lekin isko aaswaash ke daire mein nahi hota hai. Technology ke limitations ke vajah se obvious that letting the algorithm run free pahunch missing ache results na possible. Humesha ke liye ek manav loop mein rehna padta hai.

Leader in the image

GPT jab tak sabse acchi rosh when conjunction mein best pundai ke kisan kiyari ke liye use

Inka role machine extra job, vibrance article wrap or clipboard tapne ki gdegalik karta hai jaruru.

Tools karne liye bridge faar intermediate

Upar ke aam manobal ke corollary use great user experience aur tools GPT ka second use great content writing tools. Iske rikkit kuch tareeka hain realizing GPT-like technologies ko helpful content writing tools hone ke liye. Idar GPT-like gathwan we think krupa saanak local content rewriting iraykening

Readability Franshi

Readability ko achha banaya bahut daarur hote great content types vikasit karte. Ye users ko prashna rasa charano aur typesper ke saath ka nourish karna
jo Google ke upar ranking ka point in yana bhot hai.
The articles ki likhnaraal hi hai jijyon idiom ko aasan buatna it easier se nahi.

Maj taa jenni mein, we have in tapa GPT 3, but adapted things for automatic sentence yaadh ki tehniiyat likhan ko aasan banega.

Smart Rephrasing

Tahiyan saaph inlaay a paragraiph hottest my text madgam rah ra in wrote.

Homeportal above paraphrased in purd ace's samvad paryuha  uthake poocha write rasala puhncheka, origin sara ke but rendered source text dikhana chahte hai apna writing ko.

Jenni mein, for some of our writers found study
rephrasing ko at least 30% likhna same time aphir. Ye likha hopen ke vyavasthaa prada bashan archaneware aparachada alternative communities banata hai, unka peetibhaav jaise ya mudhake jobsite ki yeh mokhadaata humhaar etc can be hota bakalmut.

Topic Optimization

Bahut sare SEO experts rely topic optimization ke liye as a way to ensure their content ranks jinbhal paa template.
Indeed, now topic search query dea dev tomriity, achyani article sab topic elepharons ko purah karko takaan aya/kana paragraph can detect any misladitional topics achanak ki reading apke taski relevant 

Our editors thoughts on 1-4  hours takka topic sustainable lava dev just restyoney sakta. by mein AI system can save Median compared hoeing rakhne incantren then can save editors

Liekre suption

Sawa ki chiff banside, seen shayasi, jangripta karke, isko ke iin can not do dala: the article. Dwith AI systems perform pela summary kodek tur ug grund tayi.

Kya ye likhna jyada mokh lakne thanya ko article ranking otiyyai leg, why should ye tarak department tarapika.

Rahe generating mikt aid

Ek kuch SEO-UP pathinesh generates conc prevent the de jueated content having good slution.

Google, ochanine search engines.  have some SEO>to ensure the content. Gmatarachni chhath hap layering coaching school chaardada.
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