Skip to content
🤔prompts chat🧠
🔍
question:Which term refers to applying structure and thought to interactions with generative AI, to steer it towards the results needed? -hallucination -context length -cut-off point -prompt engineering -I don't know this yet.

answer:prompt engineering Prompt engineering refers to the practice of applying structure and thought to interactions with generative AI in order to guide or steer it towards producing the desired results. By crafting specific prompts or input to the AI model, users can influence the output and outcomes generated by the system.

question:An editor is using a generative AI application to summarize a document, however, the responses received from the application are not as expected. -What should the editor do in this case? -Keep the prompt and continue to further refine it. -Ensure the prompt is free from grammatical errors. -Make the prompt as brief and vague as possible. -Delete the prompt and create a new one from scratch. -I don't know this yet.

answer:Keep the prompt and continue to further refine it. If the editor is not receiving the expected responses from the generative AI application when summarizing a document, it would be best to keep the prompt and continue to further refine it. By iteratively adjusting and improving the prompt based on the AI's outputs, the editor can eventually achieve the desired summary. Simply deleting the prompt and creating a new one from scratch may not address the underlying issues with the AI's responses.

question:What does it mean to take a holistic approach to AI? -using a combination of generative, predictive, and diagnostic AI -uploading company data into public chatbots to help train AI models -building every client a fully customized AI model from the ground up -using AI to perform all work actions without human intervention -I don't know this yet.

answer:using a combination of generative, predictive, and diagnostic AI Taking a holistic approach to AI means utilizing a combination of different types of AI, such as generative, predictive, and diagnostic, to address various aspects and challenges within a system or organization. By integrating these different types of AI, a holistic solution can be developed that can provide comprehensive insights and optimizations across different areas of operation.

question:A researcher is using a generative AI tool to find out about an event that happened two days ago. What is likely to happen? -The tool may not know about anything so recent. -There may be too many responses to sort through. -The tool will produce one very specific summary. -There will be a few responses in a randomized order. -I don't know this yet.

answer:The tool may not know about anything so recent. Generative AI tools typically function based on the data they have been trained on, and they may not have information on events that occurred very recently, such as two days ago. As a result, it is likely that the tool may not be able to provide relevant information about the specific event in question.

Released under the MIT License.

has loaded