What is Google BERT?

[WoodsPainting]

What is Google BERT?

[ritesh3592]

Google BERT stands for Bidirectional Encoder Representations from Transformers and is an update to the core search algorithm aimed at improving the language understanding capabilities of Google.7 days ago

[jayam]

“Bert is a natural language processing pre-training approach that can be used on a large body of text. It handles tasks such as entity recognition, part of speech tagging, and question-answering among other natural language processes. Bert helps Google understand natural language text from the Web.

[Saravanan28]

BERT is the first fine- tuning based representation model that achieves state-of-the-art performance on a large suite of sentence-level and token-level tasks, outper- forming many task-specific architectures. ... The code and pre-trained mod- els are available at https://github.com/ google-research/bert.

[GeethaN]

BERT is a method of pre-training language representations, meaning that we train a general-purpose "language understanding" model on a large text corpus (like Wikipedia), and then use that model for downstream NLP tasks that we care about (like question answering).

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[jayam]

Bert is a natural language processing pre-training approach that can be used on a large body of text. It handles tasks such as entity recognition, part of speech tagging, and question-answering among other natural language processes. Bert helps Google understand natural language text from the Web.

[DavidMau]

It's Google's neural network-based technique for natural language processing (NLP) pre-training. BERT stands for Bidirectional Encoder Representations from Transformers. It was opened-sourced last year and written about in more detail about the Google AI blog.

[OrlandoHernande]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it may be used to assist Google better identify the context of words from search queries.

[RH-Calvin]

Bidirectional Encoder Representations from Transformers (BERT) is a technique for NLP (Natural Language Processing) pre-training developed by Google. BERT was created and published in 2018 by Jacob Devlin and his colleagues from Google. Google is leveraging BERT to better understand user searches.

[Saravanan28]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries.

[Jessicad0505]

BERT is a Bidirectional Encoder Representations from Transformers, this is a google algorithm update which is useful for google to understand the search query words.

[GeethaN]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries.

[yuva12]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries.

[sophiawils59]

BERT stands for Bidirectional Encoder Representations from Transformers. According to the official explanation from Google, it's a “neural network-based technique for natural language processing (NLP) pre-training.” Despite that rather complex description, the basic premise of this update is relatively simple.

[cleanetic]

Bert is a natural language processing pre-training approach that can be used on a large body of text. It handles tasks such as entity recognition, part of speech tagging, and question-answering among other natural language processes. Bert helps Google understand natural language text from the Web.

[jayam]

BERT, which stands for Bidirectional Encoder Representations from Transformers, is a neural network-based technique for natural language processing pre-training. In plain English, it can be used to help Google better discern the context of words in search queries

[Prateektechnoso]

Thanks for your information friends.

[godwin]

Bidirectional Encoder Representations from Transformers is a technique for NLP pre-training developed by Google. BERT was created and published in 2018 by Jacob Devlin and his colleagues from Google. Google is leveraging BERT to better understand user searches.

[dombowkett]

Google updated their search algorithm as BERT to understand user queries language exactly.

[juliaalan]

Google BERT stands for Bidirectional Encoder Representations from Transformers and is an update to the core search algorithm aimed at improving the language understanding capabilities of Google.

BERT is one of the biggest updates that Google has made since RankBrain in 2015 and has proven successful in comprehending the intent of the searcher behind a search query.

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