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BERT

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Company health

Employee growth
69% increase in the last year
Web traffic
2% decrease in the last quarter
Financing
July 2018 - $16M

Ratings

G2
4.4/5
(55)
Glassdoor
3.5/5
(2)

BERT description

BERT is a Google technology that helps computers understand the meaning of language. It doesn't offer business software solutions itself. Instead, BERT acts like a brainy assistant, improving the accuracy of search engines and other tools that process words. Think of it as a behind-the-scenes upgrade for making online information more accessible and useful.


Who is BERT best for

BERT, a Google technology, empowers computers to understand language, enhancing search accuracy and accessibility. A powerful tool for developers and data scientists working with NLP, BERT excels at understanding context and relationships between words. While computationally expensive, its pre-trained models are readily available and easily fine-tuned. Users praise its performance on tasks like question answering and sentiment analysis.

  • Ideal for large enterprises (1001+ employees), but limited fit for smaller businesses.

  • Suitable for businesses across all industries leveraging Natural Language Processing.


BERT features

Supported

BERT's core function is to organize information, making it accessible and useful on a global scale.

Supported

BERT enhances search engine accuracy by understanding the meaning of language.

Supported

BERT processes words, making online information more readily accessible.

Supported

BERT is designed to assist computers in comprehending the nuances of human language.


BERT reviews

We've summarised 55 BERT reviews (BERT G2 reviews) and summarised the main points below.

Pros of BERT
  • BERT excels at understanding context and relationships between words in a sentence.
  • It achieves state-of-the-art performance on various NLP tasks like question answering, sentiment analysis, and text classification.
  • BERT's pre-trained models are readily available and can be fine-tuned for specific tasks with relatively small datasets.
  • It is open-source and has a large and active community, providing ample resources and support.
  • BERT offers a versatile and powerful approach to natural language understanding.
Cons of BERT
  • BERT can be computationally expensive, requiring significant resources for training and inference.
  • It can struggle with long documents and long-range dependencies, limiting its effectiveness for certain tasks.
  • BERT models can be difficult to interpret, making it hard to understand the reasoning behind their predictions.
  • BERT can be sensitive to biases present in the training data, potentially leading to skewed or unfair outputs.
  • It can struggle with out-of-vocabulary words and might not handle long-range dependencies effectively.

BERT alternatives

  • Logo of BERT Large Cased TensorFlow Hub Text Classification
    BERT Large Cased TensorFlow Hub Text Classification
    Powerful pre-trained model easily classifies English text.
    Read more
  • Logo of RoBERTa Base
    RoBERTa Base
    Powerful text understanding for analyzing and classifying sentences.
    Read more
  • Logo of Recommender
    Recommender
    Find relevant Google products and stay updated on AI innovations.
    Read more
  • Logo of Gemini
    Gemini
    Advanced AI for text, code, and ideas. Powerful, versatile, experimental.
    Read more
  • Logo of Translation AI
    Translation AI
    Breaks down language barriers with AI-powered translations.
    Read more
  • Logo of Question Answering
    Question Answering
    Finds answers in your data and tells you in plain language.
    Read more

BERT FAQ

  • What is BERT and what does BERT do?

    BERT (Bidirectional Encoder Representations from Transformers) is a Google technology that helps computers understand language. It improves the accuracy of search engines and other language-processing tools by understanding context and relationships between words. BERT is not a standalone business software but a powerful component within other applications.

  • How does BERT integrate with other tools?

    BERT integrates with other tools by enhancing their natural language processing capabilities. It improves search accuracy, powers chatbots, and enables more nuanced text analysis in various applications. BERT doesn't function as standalone software, but as a component within other systems.

  • What the main competitors of BERT?

    Alternatives to BERT include RoBERTa, XLNet, and ALBERT. These models offer similar natural language understanding capabilities with varying performance and efficiency trade-offs. Gemini is another notable competitor providing a broader range of AI functionalities beyond text processing.

  • Is BERT legit?

    BERT is a safe and legitimate Google technology. It's not a standalone business software but a powerful tool that enhances natural language processing, improving search accuracy and other language-based applications. BERT is reliable for developers seeking to improve language understanding in their projects.

  • How much does BERT cost?

    I couldn't find pricing details for BERT. Contact the vendor directly to determine if BERT's product pricing and features are worth it for your needs.

  • Is BERT customer service good?

    BERT doesn't offer direct customer service as it's a technology, not a software product. However, reviews suggest that using BERT improves customer service quality by automating tasks, understanding natural language, and providing more accurate responses to inquiries. Some users mentioned difficulty understanding BERT's predictions initially.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.