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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    ChatGPT

    Score8.9 out of 10
    N/AOpenAI offers ChatGPT, an advanced general intelligence (AGI) chatbot which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.

    $0

    per month

    Pytorch

    Score9.4 out of 10
    N/APytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.N/A
    Pricing
    ChatGPTPytorch
    Editions & Modules
    Free
    $0
    per month
    Plus
    $20
    per month
    Team
    $30
    per month per user
    Pro
    $200
    per month
    Enterprise
    Contact Sales
    No answers on this topic
    Offerings
    Pricing Offerings
    ChatGPTPytorch
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    ChatGPTPytorch
    Small Businesses
    No answers on this topic
    TensorFlow
    Score7.6 out of 10
    Medium-sized Companies
    No answers on this topic
    Google Cloud AI
    Score8.7 out of 10
    Enterprises
    No answers on this topic
    Google Cloud AI
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    ChatGPTPytorch
    Likelihood to Recommend
    9.1
    (22 ratings)
    9.0
    (6 ratings)
    Likelihood to Renew
    10.0
    (3 ratings)
    -
    (0 ratings)
    Usability
    9.1
    (21 ratings)
    10.0
    (1 ratings)
    Support Rating
    7.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    ChatGPTPytorch
    Likelihood to Recommend
    OpenAI
    I’d definitely recommend ChatGPT to anyone as a great introduction to generative AI and as a starting point in research, writing, brainstorming, or general questions or judgement questions. It can be a great tool to use when you don’t necessarily need an accurate answer. For example, I wouldn’t let it calculate my taxes, but I’d use it to ask some general tax questions, then ask for sources and then verify by checking those sources. I also love ChatGPT for writing and questions - it’s great for emails, creating templates and outlines, and for generating spreadsheet formulas.
    Incentivized
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    Open Source
    They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch.
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    Pros
    OpenAI
    • Saves time by generating content about a specific topic very quickly
    • Allows us to quickly learn information online (from various sources or even a single lengthy article) into more summed up digestible paragraphs (and even bullet points)
    • Can autogenerate content on a vast amount of topics
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    Open Source
    • flexibility
    • Clean code, close to the algorithm.
    • Fast
    • Handles GPUs, multiple GPUs on a single machine, CPUs, and Mac.
    • Versatile, can work efficiently on text/audio/image/tabular datasets.
    Incentivized
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    Cons
    OpenAI
    • Wish it had support for better slides generation. Sometimes we found ourselves using chatgpt to outline a presentation but build it ourselves or use a tool like Gamma
    • Maybe a chepear $10 plan. In some countries the US dollar can be expensive and $20 goes a long way.
    • I wish you could make projects with more files. They limit it. Or make the limit based on the content, not the number of files per se
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    Open Source
    • Since pythonic if developing an app with pytorch as backend the response can be substantially slow and support is less compares to Tensorflow
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    Likelihood to Renew
    OpenAI
    ChatGPT is a powerful assistant. As long as you understand what it is you're looking for in its results, it can save you a lot of time due to its ability to do the heavy lifting for you. This frees your time up to enable you to concentrate on other tasks.
    Incentivized
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    Open Source
    No answers on this topic
    Usability
    OpenAI
    It's a potent utility tool, personally and professionally. It’s also very convenient - it can be used for a wide range of things and scenarios, and when used correctly, it usually produces dependable results in
    seconds. I would give it a full 10 if it didn't hallucinate as much as it does, and the image generator was more accurate.
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    Open Source
    The big advantage of PyTorch is how close it is to the algorithm. Oftentimes, it is easier to read Pytorch code than a given paper directly. I particularly like the object-oriented approach in model definition; it makes things very clean and easy to teach to software engineers.
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    Support Rating
    OpenAI
    Their responses are always professional , although they delay sometimes
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    Open Source
    No answers on this topic
    Alternatives Considered
    OpenAI
    I find that ChatGPT has the best overall system for user-friendly Ai. I like the customization options of this tool in comparison to others. The ease of setting up a custom GPT with knowledge and resources is great - you don't get that in other tools. I also like the ability to embed the application directly into the browser or computer. This is powerful and opens up addition features or tools
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    Open Source
    Pytorch is very, very simple compared to TensorFlow. Simple to install, less dependency issues, and very small learning curve. TensorFlow is very much optimised for robust deployment but very complicated to train simple models and play around with the loss functions. It needs a lot of juggling around with the documentation. The research community also prefers PyTorch, so it becomes easy to find solutions to most of the problems. Keras is very simple and good for learning ML / DL. But when going deep into research or building some product that requires a lot of tweaks and experimentation, Keras is not suitable for that. May be good for proving some hypotheses but not good for rigorous experimentation with complex models.
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    Return on Investment
    OpenAI
    • I can solve problems quickly. What would take some time, for example, writing an SPF string, ChatGPT can do it correctly in seconds if I it gives the correct information.
    • The best tool I've ever used for research. For example, I can ask ChatGPT to list all the villages, cities and townships in a specific county. And provide the URL link for each.
    • Problems that seem unsolvable, i.e. why is Gmal rejecting every message from our list server is answered with a number of suggestions that I can follow up with.
    • Basically, has elimited a tech support position in our company.
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    Open Source
    • The ability to make models as never before
    • Being able to control the bias of models was not done before the arrival of Pytorch in our company
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