Shulou(Shulou.com)12/24 Report--

Thanks to CTOnews.com netizen OC_Formula for the clue delivery! CTOnews.com, December 1, Amazon unveiled three "Titan" series of generative AI models at re: Invent yesterday, including Amazon's first image generation model "Titan Image Generator", text generation model "Amazon Titan Text Express" and "Titan Text Lite".

It is reported that Titan Image Generator is the latest Titan family model developed by Amazon, which claims to be able to catch up with competitors such as OpenAI, Google and Microsoft.

The model has the functions of "picture editing" and "hiding watermark", which allows users to enter prompt words and sentences in English to generate "professional level" images. Amazon says Titan Image Generator is trained with high-quality and diverse data, so it can produce accurate, realistic and diverse images.

▲ Titan Image Generator generates pictures in terms of "picture editing", Titan Image Generator mainly uses the built-in segmentation model to adjust the picture, supporting smudge repair, picture expansion (outpainting), picture background change and other functions.

CTOnews.com also found that Amazon said that in order to prevent malicious people from using Titan Image Generator to forge photos, all images generated by Titan models will be added with an invisible hidden watermark, which cannot be cut or compressed to facilitate regulatory identification.

In addition to the picture generation model, Amazon also introduces two text generation models, Titan Text Express and Titan Text Lite, which are based on Amazon's Bedrock platform, and users can use the two models directly through the Bedrock console, or add their own data sets and train them.

Among them, Titan Text Express is a "cost-effective" text generation model, which provides up to 8000 token input and supports "search enhanced Natural language processing (retrieval-augmented generation)", open text generation, excerpts, code writing, table generation, paragraph rewriting, relevance thinking (chain of thought), Q & A, chat and so on.

Text Lite, on the other hand, is designed for enterprise-specific usage scenarios, emphasizing "highly customized", providing up to 4000 token input, and focusing on optimization for excerpts and copywriting (copywriting).

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