CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling

Mixture-of-Experts (MoE) models are crucial for scaling model capacity while controlling inference costs. While integrating MoE into multimodal models like CLIP improves performance, training these models is notoriously challenging and expensive. We propose CLIP-Upcycling (CLIP-UP), an efficient alternative training strategy that converts a pre-trained dense CLIP model into a sparse MoE architecture. Through extensive experimentation …

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New Amazon Bedrock Data Automation capabilities streamline video and audio analysis

Organizations across a wide range of industries are struggling to process massive amounts of unstructured video and audio content to support their core business applications and organizational priorities. Amazon Bedrock Data Automation helps them meet this challenge by streamlining application development and automating workflows that use content from documents, images, audio, and video. Recently, we …

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Calling all devs: Build multi-agent systems in the Agent Development Kit Hackathon with Google Cloud

Heard of AI agents lately? We know many of you are itching to start building them! Here’s your chance with the Agent Development Kit Hackathon with Google Cloud.  Everyone’s talking about AI agents, but the real magic happens when they collaborate to tackle complex tasks. Think: complex processes, data analysis, content creation, and customer support. …