How to improve Gemini's responses: 14 steps to ensure higher quality and better sources
European regulators are increasingly scrutinizing the operations of major digital platforms and artificial intelligence (AI) development within the bloc. A significant focus is on enhancing the quality and accuracy of AI-generated responses, particularly from models like Google's Gemini. This effort reflects a broader European strategy to ensure AI's reliability and foster responsible innovation. To achieve higher standards, developers are being advised to refine their interaction prompts with AI systems. This includes providing more specific instructions, detailed context, and even requesting the AI to cite its sources or provide links to verified information. The aim is to move beyond generic queries towards structured dialogues that elicit more precise and trustworthy outputs, especially when dealing with factual content. These advancements in AI prompt engineering are not just technical adjustments but are intrinsically linked to the EU's digital policy goals. By pushing for greater transparency and verifiable information from AI, Europe is reinforcing its commitment to digital sovereignty and user trust. This approach seeks to mitigate the risks of misinformation and bias, ensuring AI technologies serve societal interests responsibly.
Curated and translated by Europe Digital for our multilingual European audience.
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