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Use large expanses of the colour. If you're colouring text, use bold and a large font. For small expanses of colour, such as thin lines, clearly label them with text, or use non-colour techniques such as font styles (bold or italic), line styles (dots and dashes) or cross-hatching (stripes, checkers or polka-dots).
Similarly, an image model prompted with the text "a photo of a CEO" might disproportionately generate images of white male CEOs, [128] if trained on a racially biased data set. A number of methods for mitigating bias have been attempted, such as altering input prompts [ 129 ] and reweighting training data.
GPT-4 is a multi-modal LLM that is capable of processing text and image input (though its output is limited to text). [49] Regarding multimodal output, some generative transformer-based models are used for text-to-image technologies such as diffusion [50] and parallel decoding. [51]
The Atari ST series has a digital-to-analog converter of 3-bits, eight levels per RGB channel, featuring a 9-bit RGB palette (512 colors).Depending on the (proprietary) monitor type attached, it displays one of the 320×200, 16-colors and 640×200, 4-colors modes with the color monitor, or the high resolution 640×400 black and white mode with the monochrome monitor.
An example of a High Capacity Color Barcode: a Microsoft Tag referring to the HCCB article on the English Wikipedia. High Capacity Color Barcode (HCCB) is a technology developed by Microsoft for encoding data in a 2D "barcode" using clusters of colored triangles instead of the square pixels conventionally associated with 2D barcodes or QR codes. [1]
The boldness and weight at this smaller size can actually make a piece of text more difficult to read. For this reason, the fonts that are commonly used to type large blocks of text are not overly dark or heavy on the page. They create a good balance of text color and white space. This balance is important for an attractive and legible piece of ...