KAI vs PyTorch comparison

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Kasisto Logo
238 views|33 comparisons
PyTorch Logo
1,398 views|1,023 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between KAI and PyTorch based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
767,847 professionals have used our research since 2012.
Featured Review
Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
  • "It is free."
  • "PyTorch is an open-source solution."
  • "It is free."
  • "PyTorch is open-sourced."
  • "PyTorch is open source."
  • More PyTorch Pricing and Cost Advice →

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    Top Answer:The tool is very user-friendly.
    Top Answer:PyTorch is open-sourced. It is a versatile tool. We can get everything online. We can get paid support if we need it.
    Top Answer:I've had issues with stability when I use a lot of data and try out different combinations of modeling techniques. I would also like to see some improvement in parallel processing. We can take… more »
    Ranking
    21st
    Views
    238
    Comparisons
    33
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    11th
    Views
    1,398
    Comparisons
    1,023
    Reviews
    2
    Average Words per Review
    383
    Rating
    9.0
    Comparisons
    OpenVINO logo
    Compared 47% of the time.
    MXNet logo
    Compared 19% of the time.
    Google Cloud AI Platform logo
    Compared 7% of the time.
    Caffe logo
    Compared 5% of the time.
    Learn More
    PyTorch
    Video Not Available
    Overview

    KAI is a conversational AI platform powering virtual assistants and smart bots across mobile apps, websites, messaging platforms, and IoT devices.

    Built with industry-specific domain expertise, KAI-powered bots and virtual assistants are well-versed in your business whether that’s finance, commerce, or any other industry.

    We've built this course as an introduction to deep learning. Deep learning is a field of machine learning utilizing massive neural networks, massive datasets, and accelerated computing on GPUs. Many of the advancements we've seen in AI recently are due to the power of deep learning. This revolution is impacting a wide range of industries already with applications such as personal voice assistants, medical imaging, automated vehicles, video game AI, and more.

    In this course, we'll be covering the concepts behind deep learning and how to build deep learning models using PyTorch. We've included a lot of hands-on exercises so by the end of the course, you'll be defining and training your own state-of-the-art deep learning models.

    Sample Customers
    DBS, J.P Morgan, absa, Standard Chartered
    Information Not Available
    Top Industries
    No Data Available
    VISITORS READING REVIEWS
    Manufacturing Company21%
    Computer Software Company11%
    University10%
    Educational Organization9%
    Company Size
    No Data Available
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise66%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    767,847 professionals have used our research since 2012.

    KAI is ranked 21st in AI Development Platforms while PyTorch is ranked 11th in AI Development Platforms with 6 reviews. KAI is rated 0.0, while PyTorch is rated 8.6. On the other hand, the top reviewer of PyTorch writes "Offers good backward compatible and simple to use". KAI is most compared with Azure OpenAI, whereas PyTorch is most compared with OpenVINO, MXNet, Microsoft Azure Machine Learning Studio, Google Cloud AI Platform and Caffe.

    See our list of best AI Development Platforms vendors.

    We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.