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HomeTechnology peripheralsAIAmazon launches price-performance Titan series of AI models that can generate image text

IT House News on December 1st, Amazon announced three "Titan" series of generative AI models at the re: Invent conference yesterday, including Amazon's first image generation model "Titan Image Generator", text Generate models "Amazon Titan Text Express" and "Titan Text Lite".

It is reported that Amazon’s latest Titan Image Generator is one of its independently developed Titan family models. It is said that this model is not only technically comparable to competitors such as OpenAI, Google, and Microsoft, but can even surpass them.

This model has functions such as "picture editing" and "hide watermark", allowing users to generate "professional-level" images based on English input prompts. Amazon says that Titan Image Generator is trained on high-quality and diverse data, so it can generate accurate, realistic and diverse images

亚马逊推出价格性能兼佳的 Titan 系列 AI 模型,可生成图片文本

Image generated by Titan image generator

Titan Image Generator mainly uses the built-in segmentation model for image editing, including stain repair, image expansion (outpainting), image background change and other functions

According to IT House reports, Amazon announced that all images generated by Titan series models will add invisible watermarks to prevent someone from using Titan Image Generator to create false images. This watermark cannot be cropped or compressed, making it easier for regulatory authorities to identify it

In addition to introducing the image generation model, Amazon also launched two text generation models, namely Titan Text Express and Titan Text Lite. These two models are developed based on Amazon's Bedrock platform. Users can use these two models directly in the Bedrock console, or they can train by adding their own data sets

亚马逊推出价格性能兼佳的 Titan 系列 AI 模型,可生成图片文本

Among them, Titan Text Express is a "cost-effective" text generation model, providing up to 8000 token input, supporting "retrieval-enhanced natural language processing (retrieval-augmented generation)", open text generation, excerpting key points, writing code, Generate tables, rewrite paragraphs, chain of thought, Q&A and chat, etc.

Text Lite is designed for specific enterprise usage scenarios, emphasizing "high customization", providing up to 4,000 characters of input, and focusing on optimizing excerpts and copywriting

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