Long Summary is a cutting-edge text summarization tool designed to tackle the challenges of condensing extensive documents into customized lengths, regardless of the original text's size. Unlike traditional AI models such as ChatGPT, Gemini, or Claude, which struggle with very long texts, Long Summary excels in handling extensive content without limitations. Users can input large documents and receive summaries tailored to their needs, whether they want a brief overview or a detailed analysis.
One of the key features of Long Summary is its scalability; as users increase the summary length, they capture more nuances and critical details from the original text, ensuring that important information is retained. This makes it a valuable resource for various users, including businesses that need to distill lengthy reports into actionable insights, and professionals who want to quickly understand extensive research papers or legal documents without missing key points.
Additionally, Long Summary allows for flexible input and output, enabling users to summarize entire books, academic theses, or collections of documents. It supports file uploads in various formats, simplifying the process of information extraction. For developers, Long Summary offers a robust API, allowing easy integration of its summarization technology into applications, websites, or services, enhancing the overall functionality of their products.
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Based on our record, DALL-E seems to be more popular. It has been mentiond 197 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenAI's livestream of GPT-4o Image Generation shows that it is slowwwwwwwwww (maybe 30 seconds per image, which Sam Altman had to spin "it's slow but the generated images are worth it"). Instead of using a diffusion approach, it appears to be generating the image tokens and decoding then akin to the original DALL-E (https://openai.com/index/dall-e/), which allows for streaming partial generations from top to... - Source: Hacker News / 6 months ago
I find Dall-E especially useful for creating illustrations to put in the headers of articles that help catch readersโ attention, and generally create blog content that stands out more to readers (and search engines). You can see examples of illustrations and the prompts used to create them on OpenAI's site (https://openai.com/research/dall-e). While it's not my space, this could be a gamechanger for those doing... Source: over 2 years ago
SD is difficult for a beginner, but if you want, I can recommend the Unstable Diskord Disfusion server there are many guides as well as NSFW image or utube videos, if u try SD I recomended download model from CIVITAI And we have a lot of free AI gen site: Https://hotpot.ai/art-generator Https://leonardo.ai/ Https://openai.com/research/dall-e. Source: over 2 years ago
This Lambda function is similar to the previous one. We use the recipe name that createCompletion API has generated in order to create an image from it by calling createImage (this API uses DALL-E models for image generation) :. - Source: dev.to / over 2 years ago
Then you look at google's SayCan and it looks about as capable now as Dalle1 did for art last year. Source: almost 3 years ago
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