What Does ChatGPT Mean for Business

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What Does ChatGPT AI Software Mean for Business?
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What does ChatGPT Mean for Business

• The AI chatbot developed by Open AI, is
  disrupting many business models and industries.
• It understands and gives feedback on human inputs
  and manages several tasks, such as generating
  content, writing code, solving math problems,
  finance markets, trading insights, price
  projections, stock markets, and cryptocurrencies
  like Bitcoin.
• Microsoft purchased an exclusive license to the
  underlying technology behind GPT-3 in 2020 after
  investing 1 billion into OpenAI.

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What does ChatGPT stand for?

• It's a chatbot named Generative Pre-trained
  Transformer (GPT), developed by Microsoft-owned
  Open AI.
• According to the OpenAI website, they have
  "trained a model called ChatGPT, which interacts
  in a conversational way.
• The dialogue format allows ChatGPT to answer
  follow-up questions, admit mistakes, challenge
  incorrect premises, and reject inappropriate
  requests.
• ChatGPT is a sibling model to InstructGPT, which
  is trained to follow the instruction in a prompt
  and provide a detailed response.

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What can ChatGPT be used for?

• Dynamics 365 ERP provides wide-ranging business
  solution components according to ChatGPT can
  explain complex issues in simple terms. You can
  use ChatGPT to brainstorm ideas, but you still
  have to do your research before starting your
  project. Here are some examples 
• 1. Writing and Debugging Code
• 2. Language Translation
• 3. Write Content and Essays on any
  Topic
• 4. Keyword Research

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What ChatGPT Cannot do

• It cannot generate original content, as it can
  only recombine and modify the information it has
  been trained on.
• As much as the application has evolved on the
  data it has been trained on, it still falls short
  in some situations as it lacks common human
  sense.
• This leads to it sometimes generating factually
  incorrect information.

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What are ChatGPT limitations?

• All AI models, including ChatGPT, have
  limitations in its training data. It's only as
  good as the data that it has been trained on.
• It is programmed to generate text based on
  patterns in the data it has been trained on. It
  still needs to overcome lots of hurdles.
• It needs more information on current knowledge
  and has a knowledge base up to 2021. It doesn't
  have real-time information like search engines.

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• Thank You