Promptlys

Our team at Promptlys spent an unconventional birthday weekend at the Cerebral Beach AI hackathon organized by AILA in downtown Santa Monica. Our team built a NextJS-based custom WebApp AI agent that serves dry technical knowledge using custom prompting on a user-selected topic with quirky humor and audio https://lnkd.in/g3VqpPKX I believe We can get used to these things !

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

Mega-prompts are the latest trend in the world of generative AI prompting. As the name suggests, mega-prompts are longer in length with the intention to generate more nuanced outputs. Mega-prompts and traditional short prompts each have distinct advantages and potential drawbacks in terms of effectiveness when used in generative AI applications. ### Mega-Prompts - **Advantages**: Mega-prompts, or long prompts, provide more context and detail, which can lead to more nuanced and comprehensive responses from AI models. They are particularly beneficial when exploring complex topics, as they can guide the AI's understanding and encourage detailed and creative outputs[1]. - **Challenges**: Crafting effective mega-prompts requires careful structuring to avoid overwhelming the AI with unnecessary information or leading it off-track. There is also a risk of the AI getting lost in excessive details, which can result in tangential or irrelevant responses. ### Short Prompts - **Advantages**: Short prompts are typically more focused and direct, making them easier to compose and more efficient in terms of processing. They are suitable for straightforward queries where brevity is preferred. - **Challenges**: While short prompts are efficient, they may lack the depth required for more complex inquiries, potentially leading to less informative responses. They might not provide enough context for the AI to generate detailed or creative answers. ### Conclusion Both mega-prompts and short prompts have their merits, and the choice between them depends on the specific requirements of the task at hand. Mega-prompts are advantageous for in-depth exploration and creativity, while short prompts excel in simplicity and directness. Users can optimize their interactions with AI by judiciously employing both types of prompts depending on the context and desired outcome.

Hi guys, We are thrilled to introduce Promptlys on WhatsApp, an Messenger-based GPT4-powered AI assistant. You can engage with it like the premium version of ChatGPT, directly on WhatsApp, for free. Attached video is an overview of the key features and commands available. Please sign up below to apply for access: https://lnkd.in/gZ7J7_Cs (** Same commands and features are applicable to Promptlys on Line Messenger for our Taiwan and Japan users as well. )