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  Google Gemini vs. ChatGPT 4: A Comparative Analysis Google Gemini and ChatGPT 4 are two of the most advanced large language models (LLMs) currently available. They are both trained on massive datasets of text and code, and they can both generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. However, there are some key differences between the two models. Gemini is still under development, but it has the potential to be more powerful than ChatGPT 4. Gemini is trained on a larger dataset than ChatGPT 4, and it uses a more advanced architecture. This means that Gemini is able to generate more creative and informative text than ChatGPT 4. However, Gemini is also more computationally expensive to train and use. Here is a more detailed comparison of the two models: Feature Gemini ChatGPT 4 Model size 285B parameters 100B parameters Training dataset 600B words 500B words Architecture Transformer Transformer Capabiliti

 Here are some common prompt hacks for ChatGPT: Be specific: The more specific you are in your instructions, the better the output from ChatGPT will be. For example, instead of asking "Tell me about X," you could say "Summarize the three key points about X." Use flags: Flags are special keywords that you can use to customize the output from ChatGPT. For example, you can use the  context  flag to provide additional context, or the  instruction  flag to specify the format of the output. Use formatting options: ChatGPT also offers a variety of formatting options that you can use to make the output more readable and visually appealing. For example, you can use bullet points, tables, or code to format the output. Use the FITS model: The FITS model (Framework, Identity, Task, Style) is a framework that can be used to create more effective prompts for ChatGPT. The FITS model helps you to think about the different elements of your prompt and how they can be combined to get