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Adobe Photoshop features Generative Fill capability, that allows users to prompt Photoshop to create or update an image with GenAI. Photoshop uses the Adobe Firefly Image Model to create richer, more lifelike images, that help to bring life into your photographs.
When using different GenAI models, you may encounter biases stemming from unequal representation in the training data. This can manifest as gender biases and a lack of diversity in the subjects depicted in the generated images.
Some examples of bias found when using GenAI image models:
Prompt: engineer
All the images generated show white, male subjects.
The prompt asks for a summary of key discoveries made by a specific scientific instrument (the Hubble Space Telescope) and requests citations from reliable sources. This approach helps to determine the source of the information provided and allows users to check for accuracy.
User: "What are the top 3 most important discoveries that the Hubble Space Telescope has enabled?
Answer only using reliable sources and cite those sources."
"Conduct a sentiment analysis on the following set of customer reviews for a new product. Provide a summary of the overall sentiment, categorize each review, and identify key themes mentioned."
I’m a [job role]. I’m struggling with [areas where productivity needs to improve]. I’d like to [specific goal you’d like to achieve].
I’m a programmer who works fully remotely, and at-home responsibilities frequently distract me. I also feel like I lack accountability for my work. I’m having difficulty building a consistent routine that lets me work effectively and also have time for personal interests. How can I create better work habits and structure my days to avoid interruptions?
User: "Create a SWOT analysis for a business idea that focuses on providing eco-friendly packaging solutions."
Strengths:
Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.
Prompt engineering is the process of designing and refining prompts to effectively guide AI models, like those used in natural language processing (NLP) tasks, to generate desired outputs.
Prompt engineering is essential for maximizing the effectiveness of GenAI models. It helps in leveraging the full potential of GenAI by ensuring that the inputs are crafted to guide the models towards producing the most relevant and useful outputs. This skill is particularly valuable as AI technologies become more integrated into various fields and applications.
Review our comprehensive guide to AI terminology and definitions. Here, you'll find clear and concise explanations of key concepts and terms essential for understanding the rapidly evolving field of artificial intelligence.