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Here is the complete information about ChatGPT. How you can use ChatGPT for your business and it can explain, debug code and narrow downs your program bug.
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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.
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.
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
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.
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.