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Encoders and Decoders in Transformer Models Adrian Tam MachineLearningMastery.com

​This article is divided into three parts; they are: • Full Transformer Models: Encoder-Decoder Architecture • Encoder-Only Models • Decoder-Only Models The original transformer architecture, introduced in “Attention is All You Need,” combines an encoder and decoder specifically designed for sequence-to-sequence (seq2seq) tasks like machine… Read More »Encoders and Decoders in Transformer Models Adrian Tam MachineLearningMastery.com

Principal Financial Group increases Voice Virtual Assistant performance using Genesys, Amazon Lex, and Amazon QuickSight Mulay Ahmed and Ruby Donald AWS Machine Learning Blog

​[[{“value”:” This post was cowritten by Mulay Ahmed, Assistant Director of Engineering, and Ruby Donald, Assistant Director of Engineering at Principal Financial Group. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or… Read More »Principal Financial Group increases Voice Virtual Assistant performance using Genesys, Amazon Lex, and Amazon QuickSight Mulay Ahmed and Ruby Donald AWS Machine Learning Blog

Optimize query responses with user feedback using Amazon Bedrock embedding and few-shot prompting Tanay Chowdhury AWS Machine Learning Blog

​[[{“value”:” Improving response quality for user queries is essential for AI-driven applications, especially those focusing on user satisfaction. For example, an HR chat-based assistant should strictly follow company policies and respond using a certain tone. A deviation from that can be corrected by feedback from… Read More »Optimize query responses with user feedback using Amazon Bedrock embedding and few-shot prompting Tanay Chowdhury AWS Machine Learning Blog

Boosting team productivity with Amazon Q Business Microsoft 365 integrations for Microsoft 365 Outlook and Word Leo Mentis Raj Selvaraj AWS Machine Learning Blog

​[[{“value”:” Amazon Q Business, with its enterprise grade security, seamless integration with multiple diverse data sources, and sophisticated natural language understanding, represents the next generation of AI business assistants. What sets Amazon Q Business apart is its support of enterprise requirements from its ability to… Read More »Boosting team productivity with Amazon Q Business Microsoft 365 integrations for Microsoft 365 Outlook and Word Leo Mentis Raj Selvaraj AWS Machine Learning Blog

What Makes for a Good Stereoscopic Image? Apple Machine Learning Research

​[[{“value”:”This paper was accepted at the CV4Metaverse Workshop at CVPR 2025. With rapid advancements in virtual reality (VR) headsets, effectively measuring stereoscopic quality of experience (SQoE) has become essential for delivering immersive and comfortable 3D experiences. However, most existing stereo metrics focus on isolated aspects… Read More »What Makes for a Good Stereoscopic Image? Apple Machine Learning Research

SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models Apple Machine Learning Research

​[[{“value”:”With the rapid expansion in the scale of large language models (LLMs), enabling efficient distributed inference across multiple computing units has become increasingly critical. However, communication overheads from popular distributed inference techniques such as Tensor Parallelism pose a significant challenge to achieve scalability and low… Read More »SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models Apple Machine Learning Research