Darna
An popular and iconic superhero in Filipino lore portrayed in comics and in live action.
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Ever go mountain biking and crash? Most of the time I wish for a softer landing.
Trail building
What happens when you're out on the trail and need a more powerful tool to dig?
Lost Boys anime
Reimagining an 80s cult classic movie into an anime
Challenge
Learning to use prompting for generative AI comes with challenges like understanding the AI's capabilities and limitations, crafting clear and specific prompts, and iterating to refine results. Different models require tailored approaches, and balancing creativity with control can be tricky. Beginning this journey often came with a struggle to manage context, interpret outputs, and staying updated with rapidly evolving tools. Overcoming these challenges involves starting simple, practicing iterative refinement, studying examples, and keeping up with AI advancements while maintaining consistent practices.
Approach
Crafting effective prompts for generative AI involves being specific and clear, providing context, and breaking tasks into step-by-step instructions. Including references, refining prompts iteratively, and leveraging the AI's strengths are key strategies. Role-playing and using structured formats can help tailor outputs, while prompt templates and keyword incorporation ensure consistency and focus. Specifying constraints reduces ambiguity, and asking the AI to reflect or analyze can refine results further. These approaches, combined with experimentation and adaptation to the model, enables better guidance with AI to effectively create accurate outputs.