you can use regex to find matches for a specific character or number, or the specific position of a piece of text. If you build out your regex rules enough, you can start to find very small needles, even in large haystacks of unordered data. To ...
Avatarize.club Create High Quality AI-Generated Avatars. Professional Photos, Social Media DPs, Game Avatars, Dating Profile Photos, and more powered by Stable Diffusion 2.1. ❌ Character.io Free Tool to Generate Fresh Cartoon Characters. Generate a random set of characters or avatars with the ...
The endpoint computes the likelihood a piece of text was AI generated. Medical spellcheck Use spellcheck only for medical terms. Spellcheck Perform only requires spellcheck on your text instead of a full grammar edit. Statistics Computes simple statistics for a given text document, like word an...
While AI-generated content is getting better and more human-like, it still needs our attention to make sure the final draft is original, trustworthy, and has that personal touch that makes a story stand out.
Dune A simple API which provides you with book, character, movie and quotes JSON data No Yes Yes Final Space Final Space API No Yes Yes Game of Thrones Quotes Some Game of Thrones quotes No Yes Unknown Harry Potter Charactes Harry Potter Characters Data with with imagery No Yes Unknown IMD...
By doing so, we aim to assess not only whether the addition of a style significantly impacts the results but also whether the generated images align seamlessly with the chosen style. This aspect of our testing process sheds light on the versatility and artistic adaptability of each AI generator...
// Set the generated string as the message payload message.setBody(output.toString()) return message } This script works and it’s a very decent solution to my problem. Short, sweet and to the point. It uses a StringBuilder to compose the payload efficiently and even uses the Groovy way...
For long conversation, the model might segment it into multiple cohesive parts, and summarize each segment. There's also a lengthycontextsfield for each summary, which tells from which range of the input conversation we generated the summary. ...
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side (type: string) - Specifies which side of the input the n-gram should be generated from. Allowed values:front,back elisionElisionTokenFilterRemoves elisions. For example,l'avion(the plane) is converted toavion(plane). Options articles (type: string array) - A set of articles to remove...