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  1. openai.com › chatgptChatGPT | OpenAI

    Answer complex questions. Explore more features in ChatGPT. Type, talk, and use it your way. With ChatGPT, you can type or start a real-time voice conversation by tapping the soundwave icon in the mobile app. Browse the web. ChatGPT can answer your questions using its vast knowledge and with information from the web.

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      Explore resources, tutorials, API docs, and dynamic examples...

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  3. www.wired.com › story › how-chatgpt-works-largeHow ChatGPT and Other LLMs Work—and Where They ... - WIRED

    Apr 30, 2023 · ChatGPT, Google Bard, and other bots like them, are examples of large language models, or LLMs, and it's worth digging into how they work. It means you'll be able to better make use of them, and ...

  4. openai.com › index › chatgptIntroducing ChatGPT - OpenAI

    Nov 30, 2022 · Introducing ChatGPT. We’ve trained a model called ChatGPT 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 ...

  5. blog.dataiku.com › large-language-model-chatgptWhat Is a Large Language Model, the Tech Behind ChatGPT?

    These models, called large language models (LLMs), are capable of generating text on a seemingly endless range of topics. Understanding LLMs is key to understanding how ChatGPT works. What makes LLMs impressive is their ability to generate human-like text in almost any language (including coding languages). These models are a true innovation ...

  6. www.thoughtspot.com › data-trends › aiLarge language models (LLMs) vs. ChatGPT - ThoughtSpot

    • Let's Look at The Most Interesting Properties Seen in GPT-3
    • Where LLMs Fall Short
    • How Chatgpt Is Different Than Other LLMs
    • What Is The Impact of Chatgpt on Society?

    Remember in the examples below the text with clear background is the prompt and the text with green background is the response from GPT-3.

    See full list on thoughtspot.com

    While these capabilities are amazing and totally unprecedented, LLMs are not perfect reasoning engines. In fact it is very easy to get a response from GPT and other LLMs that is either plain wrong, misinformed, or downright unethical. Here are some examples:

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    While there are a number of other LLMs trained using similar-sized data sets, ChatGPT has simply run away with almost all the public attention. There are a few reasons for it:

    See full list on thoughtspot.com

    ChatGPT and other LLMs represent a substantial advancement in the state of the art when it comes to AI’s ability to understand text, synthesize new text, compose ideas, and do reasoning. In its current form it is deeply flawed and a lot of care needs to be taken in its application. Without a doubt, there will be a big wave of products coming soon r...

    See full list on thoughtspot.com

  7. help.openai.com › en › articlesHow ChatGPT and our language models are developed

    OpenAI’s large language models, including the models that power ChatGPT, are developed using three primary sources of information: (1) information that is publicly available on the internet, (2) information that we license from third parties, and (3) information that our users or our human trainers provide. This article provides an overview ...

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  9. www.nytimes.com › 2023/03/28 › technologyHow Chatbots and Large Language Models, or LLMs, Actually ...

    Mar 28, 2023 · Parameters: Numerical values that define a large language model’s structure and behavior, like clues that help it guess what words come next. Modern systems like GPT-4 are thought to have ...