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Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI . As with other text-to-image models, Flux generates images from natural language descriptions, called prompts .
Part 1 of the manual approaches the process of research and writing. This includes providing "practical advice" to formulate "the right questions, read critically, and build arguments" as well as helping authors draft and revise a paper. [3] Initially added with the seventh edition of the manual, this part is adapted from The Craft of Research ...
The Jane Schaffer method is a formula for essay writing that is taught in some U.S. middle schools and high schools.Developed by a San Diego teacher named Jane Schaffer, who started offering training and a 45-day curriculum in 1995, it is intended to help students who struggle with structuring essays by providing a framework.
In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.
Some examples of commonly used question answering datasets include TruthfulQA, Web Questions, TriviaQA, and SQuAD. [127] Evaluation datasets may also take the form of text completion, having the model select the most likely word or sentence to complete a prompt, for example: "Alice was friends with Bob. Alice went to visit her friend, ____". [1]
An example of prompt usage for text-to-image generation, using Fooocus. Prompts for some text-to-image models can also include images and keywords and configurable parameters, such as artistic style, which is often used via keyphrases like "in the style of [name of an artist]" in the prompt [91] and/or selection of a broad aesthetic/art style.
Academic style has often been criticized for being too full of jargon and hard to understand by the general public. [11] [12] In 2022, Joelle Renstrom argued that the COVID-19 pandemic has had a negative impact on academic writing and that many scientific articles now "contain more jargon than ever, which encourages misinterpretation, political spin, and a declining public trust in the ...
Both are academic style guides that have been widely used in the United States, Canada, and other countries, providing guidelines for writing and documentation of research in the humanities, such as English studies (including the English language, writing, and literature written in English); the study of other modern languages and literatures ...