Google BERT Kya Hai? | Google Ranking Signals

Google BERT ek update hai search giant ke algorithm ka jo business par bada asar rakhta hai aur aaj bhi rakhta hai. Agar tumhe BERT samajh aati hai, toh tum apne competition se aage nikal sakte ho aur apne aane waale search mein safalta ke liye taiyar ho sakte ho.

Isliye, tumhari madad ke liye yeh post BERT aur uski mahatvapurna haiyat ke baare mein poori jankari pradan karti hai. Ismein humne yeh update ke baare mein teen experts se baat ki hai, aur unke salah bhi shaamil hai.

ये भी पढ़ें : Google Ranking Signals क्या है?

Google BERT ka kya matlab hai?

BERT ke baare mein jaane se pehle, tumhe yeh jaanna chahiye ki BERT ka kya matlab hai.

BERT ka matlab hota hai “Bidirectional Encoder Representations from Transformers”.

Ye shabd BERT se milkar bane AI-powered language models ke pehlu ko refer karte hain. Ye bhi ek lamba naam hai, isliye Google ne iska naam chhota kar diya hai.

Google BERT kya hai?

Google BERT, yaani Bidirectional Encoder Representations from Transformers, ek neural network-based technique hai jo natural language processing (NLP) pre-training ke liye istemal hoti hai. Ise 2018 mein Google AI ke researchers ne introduce kiya tha, aur iska istemal ab NLP tasks ke benchmark ke roop mein bahut prachalit ho gaya hai.

BERT ek gehra bidirectional, unsupervised language representation hai, jo sirf plain text corpus ka istemal karke pre-train ki jati hai. Iska matlab hai ki yeh ek shabd ke pichhe aur aage aane wale shabdon ko dekhkar uski puri prasangikta ko samajh sakta hai, jo khoj query ke piche ke irade ko samajhne mein vishesh roop se upyogi hai.

Google BERT ko istemal karne ke liye muft mein upyog kiya ja sakta hai, aur ise NLP tasks, jaise ki sawal-jawab, bhavnaon ka vishleshan aur text classification mein istemal kiya ja sakta hai. Iska prayog in tasks ki performance ko kafi had tak sudharne mein sahayak sabit hua hai, aur ab yeh bahut si companies aur sangathanon dwara unke NLP applications ko prabhavit karne ke liye istemal kiya jata hai.

Yahan kuch Google BERT istemal karne ke fayde hain:

• Yeh shabd ka pura prasang samajh sakta hai, jo khoj query ke piche ke irade ko samajhne ke liye mahatvapurn hai.
• Ise ek badi text corpus par pre-train kiya jata hai, iska matlab hai ki ise ekdam se shuru se train karne ki zaroorat nahi hoti hai, aur ise alag-alag NLP tasks mein istemal kiya ja sakta hai.
• Ise muft mein istemal kiya ja sakta hai.

Yahan kuch Google BERT istemal karne ke limitations hain:

• Iski computationally training mahangi ho sakti hai.
• Yah hamesha dusre NLP models, jaise ki ELMo ke mukable utkrisht nahi hota hai.

BERT का उपयोग कब किया जाता है?

BERT ka istemal Google dwara kiya jata hai taki shabd ke nuance aur context ko behtar samajha ja sake aur usi ke anusar adhik prasangik search parinaam pradan kiya ja sake. Iska istemal vishesh roop se tab kiya jata hai jab ek query ka matlab shabdon ke beech ke sambandhon par nirbhar karta hai.

Udaharan ke liye, “2019 brazil traveler to usa need a visa” query mein, “to” shabd aur uska sambandh dusre shabdon se samajhne ke liye mahatvapurn hai. Pehle, Google is sambandh ko samajhne ki ahmiyat ko nahi samajh pata tha aur is query par U.S. nagrikon ke brazil yatra ke parinaam pradan karta tha. Lekin BERT ke saath, Google is nuance ko samajh sakta hai aur is query ke liye adhik prasangik parinaam pradan kar sakta hai.

Isi tarah, BERT shabd aur concept ka samajhne mein madad karta hai. Udaharan ke roop mein, “do estheticians stand a lot at work” query mein, BERT samajhta hai ki “stand” shabd naukri ke sharirik maangon se juda hai aur ek adhik upyogi uttar pradan karta hai.

BERT ka istemal featured snippets mein bhi kiya jata hai, jahan par Google adhik prasangik jankari pradan karne ke liye istemal hota hai. Udaharan ke liye, “Parking on a hill with no curb” query par Google ek adhik prasangik featured snippet pradarshit kar sakta hai. Pehle, is tarah ki query Google ke systems ko confuse karti thi. Google ne bataya ki “curb” shabd par bahut mahatva diya jata tha aur “no” shabd ko nazarandaz kar diya jata tha, jisse is query ka sahi uttar pradan nahi ho pata tha. Isliye woh ek hill par curb ke saath parking se sambandhit parinaam pradan karta tha. Lekin BERT ke saath, Google “no” shabd ki mahatva ko samajh sakta hai aur sahi uttar pradan kar sakta hai.

Yaad rakhe, BERT RankBrain ka sthan nahi le raha hai. RankBrain Google ka pehla artificial intelligence method hai jo query samajhne ke liye istemal kiya jata hai. BERT RankBrain ko badal nahi raha hai, balki yeh content aur query samajhne ke liye ek aur method hai. Dono methods saath mein ya alag-alag istemal kiye ja sakte hain, jaise query aur samay ke anusar.

Source: Google Blog

Google BERT FAQ’s

Aakhir mein, Google BERT ek takatwar NLP tool hai, jo alag-alag tasks mein istemal kiya ja sakta hai. Ise muft mein istemal kiya ja sakta hai, aur ise koi bhi vyakti download karke istemal kar sakta hai. Halaanki, iska istemal karne se pahle iski limitations ka dhyan rakhna mahatvapurn hai.