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Whether you're working with Google's Gemini, MidJourney's image generation, OpenAI's GPT models, or Perplexity's search capabilities, understanding the nuances of prompting can significantly enhance your results. Let's explore some fundamental techniques and platform-specific strategies. ### Universal Prompting Principles Before diving into platform-specific nuances, it's important to understand some universal prompting principles: 1. Be clear and specific 2. Provide context 3. Use examples (few-shot prompting) 4. Break complex tasks into smaller steps 5. Experiment and iterate ### Google Gemini Gemini excels at multimodal tasks, combining text, image, and even video understanding. Key techniques include: - **Multimodal prompting**: Combine text and images in your prompts for richer interactions. - **Chained reasoning**: Break complex tasks into a series of steps. - **Directional prompts**: Include keywords or concepts to guide the model's output. Example: ``` [Image of a complex physics problem] Explain this physics problem step-by-step, focusing on the concepts of momentum and energy conservation. ``` ### MidJourney MidJourney specializes in image generation. Effective prompting techniques include: - **Detailed descriptions**: Be specific about style, lighting, composition, etc. - **Art style references**: Mention specific artists or art movements. - **Parameter usage**: Utilize MidJourney's specific parameters like --ar for aspect ratio. Example: ``` A cyberpunk cityscape at night, neon lights reflecting in puddles, in the style of Blade Runner, --ar 16:9 --q 2 ``` ### OpenAI (GPT models) OpenAI's GPT models are versatile text generators. Key techniques include: - **Role-playing**: Assign a specific role or persona to the AI. - **Temperature adjustment**: Control the randomness of outputs. - **Chain-of-thought prompting**: Guide the model through a reasoning process. Example: ``` You are an expert marine biologist. Explain the impact of rising ocean temperatures on coral reefs, considering both short-term and long-term effects. Structure your response in bullet points. ``` ### Perplexity Perplexity AI excels at information retrieval and synthesis. Effective techniques include: - **Specific queries**: Ask precise questions to get targeted information. - **Comparative prompts**: Ask the AI to compare and contrast different concepts. - **Source requests**: Ask for specific sources or types of information. Example: ``` Compare and contrast the economic policies of Keynesianism and Monetarism. Provide key points and real-world examples of each approach's implementation. ``` While these rules lay the foundations for efficient and efficient prompting, you can enhance prompts by using the '/prompt' command followed by a fleeting thought, directly on Promptlys WhatsApp. https://lnkd.in/gi5xUkDf

Gemini for Google Workspace Quiz

Gemini for Google Workspace Quiz

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Promptlys

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