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7 free Google AI courses: Master LLMs, ML, and more in under an hour
Google is offering free AI courses that can help professionals and students to upskill themselves. From introduction into ...
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Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI ... - ASCO Publications
We developed a deep-learning pipeline using a U-Net–type encoder–decoder architecture for precise pixel-level CTC discrimination in peripheral blood nucleated cells (PBNCs). This method preserves ...
New fully open source vision encoder OpenVision arrives to improve on OpenAI’s Clip, Google’s SigLIP
A vision encoder is a necessary component for allowing many leading LLMs to be able to work with images uploaded by users.
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NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching
TensorRT-LLM has long been a critical tool for optimizing inference in models such as decoder-only architectures like Llama 3.1, mixture-of-experts models like Mixtral, and selective state-space ...
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NVIDIA TensorRT-LLM Enhances Encoder-Decoder Models with In-Flight Batching
NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs. NVIDIA ...
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LLM2Vec: A Simple AI Approach to Transform Any Decoder-Only LLM into a Text Encoder Achieving SOTA Performance on MTEB in the Unsupervised and Supervised Category - MarkTechPost
In order to overcome the drawback of decoder-only LLMs for text embedding, a team of researchers from Mila, McGill University, ServiceNow Research, and Facebook CIFAR AI Chair has proposed LLM2Vec, a ...