Kya aap jaante hain ki Artificial Intelligence (AI) kya hai? Jab se computers ka aavishkaar hua hai tab se insaanon ne iska istemaal kaafi badha diya hai. Wo inhein apne saare kaam karne mein laga dete hain jisse humein unpar jyada depend hona padta hai.
Isse unki dependency ka exponential growth hua hai. Manushyon ne in machineon ki capability ko kaafi had tak badha diya hai jaise ki unki speed, unka size aur unki kaary karne ki kshamta jisse ki ye hamaare kaam bahut hi kam samay mein kar saken jisse ki hamaare samay ki bachat hogi.
Aapne bhi shayad ye lakshya kiya hoga ki aajkal jise dekho Artificial Intelligence ki bas taarif kiye ja raha hai. Yadi aapko iske baare mein jyada jaankari nahi hai tab aapko chintit hone ki jarurat nahi hai kyun ki aaj mein aap logon ko Artificial Intelligence kya hai aur ye itna jaruri kyun hai ke baare mein poori jaankari dene ja raha hoon. Jisse ki aapke man mein uth rahe saare sawalon ke jawaab is article ke samaapt hone tak aapko mil jaayenge.
“Artificial Intelligence ya AI ek prakaar ki baudhik kshamta hoti hai jise ki banavti (kritrim) tareeke se vikasit ki gayi hoti hai. Ise aap ek system ka kritrim dimaag bhi samajh sakte hain.”
AI ka full form hai Artificial Intelligence ya hindi mein iska arth hai kritrim hoshiyaari ya kritrim dimaag. Ye ek aisa simulation hai jisse ki machineon ko insaani intelligence diya jaata hai ya yun kahe to unke dimaag ko itna unnat kiya jaata hai ki vo insaanon ke tarah soch sake aur kaam kar sake.
Ye khaaskar computer system mein hi kiya jaata hai. Is prakriya mein mukhya teen processes shaamil hai aur vo hain pehla learning (jismein machineon ke dimaag mein information daala jaata hai aur unhein kuch rules bhi sikhaaye jaate hain jisse ki vo un rules ka paalan karke kisi diye huye kaary ko poora kare),
Doosra hai Resoning (iske antargat machineon ko ye instruct kiya jaata hai ki vo un banaaye gaye rules ka paalan karke results ke taraf agrasar ho jisse ki unhein approximate ya definite conclusion haasil ho) aur teesra hai Self-Correction.
Agar hum AI ki particular application ki baat karen to ismein expert system, speech recognition aur machine vision shaamil hain.
AI ya Artificial Intelligence ko kuch is prakaar se banaaya gaya hai ki vo insaanon ke tarah hi soch sake, kaise insaani dimaag kisi bhi problem ko pehle seekhti hai, fir use process karti hai, decide karti hai ki kya karna uchit hoga aur finally use kaise solve karne ke baare mein sochti hai.
Usi prakaar ki artificial intelligence mein bhi machineon ko bhi insaani dimaag ki saari visheshataayen di gayi hain jisse vo behtar kaam kar sake.
Artificial Intelligence ke baare mein sabse pehle John McCarthy ne hi duniya ko bataaya. Vo ek American Computer Scientist the, jinhonne sabse pehle is technology ke baare mein san 1956 mein the Dartmouth Conference mein bataaya.
Aaj ye ek ped ki tarah bahut hi bada ho gaya hai aur saari robotics process automation se actual robotics tak sabhi cheezen iske antargat aati hain.
Vigat kuch varshon mein isne bahut publicity gain kar li hai kyun ki ismein big data ki technology bhi shaamil ho chuki hai aur iski dinbadin badhti hui speed, size aur variety of data business se bahut se companies is technology ko apnaana chahte hain.
Agar mein AI ki baat karun to iski madad se raw data mein pattern ko identify karna kaafi aasaan ho gaya hai vahi insaanon dwara bahut galtiyaan hoti hain, isse companies ko kam samay mein apne data ke upar jyada insight praapt hoti hai.
AI ke prakaar ki baat kare to yah bahut prakaar ke hote hai. Niche aapko Artificial Intelligence ke kuch mukhya prakaar ke baare mein bataaya gaya hai.
Ye AI niyam-aadharit vyavastha (Rule Based System) ke aadhar par kaam karta hai jo hum ise sikhaate hain. Ye system kuch khaas niyamon ko follow karta hai jaise ki agar ek ke saath B hai, to humein C ko chunna chahiye. Rule-based AI, kaafi basic level ka hota hai aur iska prayog ek seemit vaataavaran ke liye kiya jaata hai.
Ye AI algorithm ko sikhaata hai ki kaise data ke aadhar par nirnay lene hain. Machine learning mein, computer algorithm ko data diya jaata hai jise apne aap se seekhna hota hai. Machine learning ka prayog kaafi jagahon par kiya jaata hai jaise ki search engine, image recognition, speech recognition, aur customer service mein.
Deep learning, machine learning ka ek advanced level hai. Ye AI algorithm ko sikhaata hai ki kaise ek concepts ke padanukram ka nirmaan karen, jisse machine learning se bhi behtar parinaam mile. Iske liye, deep neural network ka istemaal kiya jaata hai. Iski vajah se, deep learning ka prayog image recognition, speech recognition, aur natural language processing mein kiya jaata hai.
NLP ka upyog machines ko maanav bhaasha samajhne aur uspar kaam karne ki shakti dene ke liye kiya jaata hai. Iske liye, machine ko vyaakaran, shabdaarth, aur vyaavahaarikta ki samajh honi chahiye. NLP ka prayog chatbots, grahak seva, aur bhaasha anuvaad mein kiya jaata hai.
Computer vision ka use machine ko visual data (image aur video) ko analyze karne ke liye kiya jaata hai. Ismein, machines ko image aur video ko vishleshan karna sikhaata hai aur uske baad usse nishkarsh nikala jaata hai. Computer vision ka prayog swaayatt vaahan, chhavi pehchaan, aur video nigraani mein kiya jaata hai.
In sabhi AI prakaar ka prayog hamaari jindagi ko kaafi aasan karne mein kiya jaata hai. Ye machine aur computer ko hamaare jaisa sochne aur samajhne ki shakti dete hain. AI ke is taaraki se hum aur bhi saare prayog mil sakte hain jo hamaare liye faaydemand hai.
Artificial Intelligence (AI) ka prayog aaj-kal kaafi jagahon par ho raha hai. Iske kai mauke hain jo hamaare jeevan ko aasan aur samriddh banaate hain. Kuch AI ke faayde hain…
AI ka prayog suraksha aur nigraani ke liye kiya jaata hai. CCTV cameras aur sensor se li gayi data ko AI se vishleshan kiya jaata hai jaise suraksha sendh, apraadh aur aapda ko detect kiya ja sakta hai. Iske alaava, swaayatt vaahano mein bhi AI ka prayog kiya jaata hai, jis durghatna aur maut ko kam kiya ja sakta hai.
AI ka prayog satik nidaan aur upchaar ke liye kiya jaata hai. Medical data ko analyze karne ke liye machine learning aur deep learning ka istemaal kiya jaata hai, jaise doctors ko satik result milte hain. AI ki sahaayata se medical professionals ko beemaari ko pehle se hi pata lagaane aur unka ilaaj shuru karne mein madad milti hai.
AI ka prayog grahak seva mein bhi kiya jaata hai. Chatbots aur virtual assistant jaise AI ke tools se grahako ki poochhtaach aur shikaayaton ko hal kiya ja sakta hai. Ise grahak seva ki gunvatta mein sudhaar hota hai aur iska kharch bhi kam hota hai.
AI ka prayog business efficiency aur productivity ko behtar banaane mein bhi kiya jaata hai. Data analysis aur automation ke liye AI ka istemaal kiya jaata hai jisse kaafi task ko automate kiya ja sakta hai. Isse time aur resources ki bachat hoti hai aur business ke results improve hote hain.
AI ki sahaayata se vyaaktikrit anushansaayen aur saamagri ko vitrit kiya ja sakta hai. Ye ek grahak ke hiton aur vareeyataaon ko vishleshan karke unhein vyaktigat sifaarishein aur saamagri pradaan karne mein madad karta hai.
AI ke faayde aur bhi kaafi hain. Iska prayog hamaare jeevan ko aasan aur kushal banaata hai. Lekin, iska sahi prayog aur kaaryaanvayan bhi jaruri hai. Isliye, humein AI ke prayog mein rukavat ya nuksaan ko avoid karne ke liye saavdhaan rehna chahiye.
AI ke faayde ke alaava nuksaan bhi hain jo AI ke sahi prayog aur kaaryaanvayan na hone ki vajah se ho sakte hain. Kuch AI ke nuksaan hain…
AI ka prayog kaafi jobs ko automate karne mein kiya jaata hai, jisse kaafi logon ko job loss ka saamna karna pad sakta hai. Agar AI ke prayog ka sahi dhyaan na rakha jaaye to ye nuksaan aur bhi bada ho sakta hai.
AI ka prayog personal data ka istemaal karke kiya jaata hai. Agar iska sahi prayog na kiya jaaye to ye data privacy ko nuksaan pahunch sakta hai. Isliye, humein apne personal data ka sahi upyog aur suraksha ko sunishchit karna jaruri hai.
AI ka prayog jyada hone se logon ki nirbharta hum par badhti jaati hai. Agar ye machines aur computer kaam nahi karne lage to logon ko kaafi nuksaan ho sakta hai. Isliye, humein apne traditional skills aur knowledge ko bhi maintain karna jaruri hai.
AI ka prayog kiya jaane waala data biased bhi ho sakta hai. Iski vajah se, AI ke result mein bhi pooraagrah aa sakta hai. Isliye, data ko analyze karne se pehle iski sahi validation aur verification hona jaruri hai.
AI ke prayog se kaafi safety issues bhi ho sakte hain. Swaayatt vaahan, drone, aur robot jaise AI se chalne waale machine aur computer ke sahi tareeke se design aur kaarya-anvayan ko sunishchit karna jaruri hai.
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Mujhe poorn aasha hai ki maine aap logon ko AI kya hai ke baare mein poori jaankari di aur main aasha karta hoon aap logon ko kritrim buddhimatta ya Artificial Intelligence (What is Artificial Intelligence in Hindi) ke baare mein samajh aa gaya hoga.
Mera aap sabhi paathkon se guzaarish hai ki aap log bhi is jaankari ko apne aas-pados, rishtedaaron, apne mitron mein Share karen, jisse ki hamaare beech jaagrukta hogi aur isse sabko bahut laabh hoga. Mujhe aap logon ki sahayog ki aavashyakta hai jisse main aur bhi nayi jaankari aap logon tak pahuncha sakoon.
Mera hamesha se yahi koshish raha hai ki main hamesha apne readers ya paathkon ka har taraf se help karoon, yadi aap logon ko kisi bhi tarah ki koi bhi doubt hai to aap mujhe bejhijak poochh sakte hain. Main jarur un Doubts ka hal nikalne ki koshish karunga.
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