Amazon SageMaker multi-model endpoints (MMEs) are a fully managed capability of SageMaker inference that allows you to deploy thousands of models on a single endpoint. Previously, MMEs pre-determinedly allocated CPU computing power to models statically regardless the model traffic load, using Multi Model Server (MMS) as its model server. In this post, we discuss a …
The AI will allow creators to generate sound effects by simply describing their imagination in words.Read More
Office chairs, espresso machines, and our favorite house slippers are on sale right now.
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AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. This naturally led to an intense focus on models as the primary ingredient in AI application development, with everyone wondering what capabilities new LLMs will bring. As more …
Hey, I‘m one of the people that trained Stable Cascade. First of all, there was a lot of great feedback and thank you for that. There were also a few people wondering why the base models come with the same problems regarding style, aesthetics etc. and how people will now fix it with finetunes. I …
AI will replace few if any data-related roles. Instead, AI-powered software will enhance their capabilities and encourage AI proficiency.Read More
The airline tried to argue that it shouldn’t be liable for anything its chatbot says.
A team of artificial intelligence researchers at Amazon AGI announced the development of what they are describing as the largest text-to-speech model ever made. By largest, they mean having the most parameters and using the largest training dataset. They have published a paper on the arXiv preprint server describing how the model was developed and …
Read more “Amazon unveils largest text-to-speech model ever made”
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