Reduce inference time for BERT models using neural architecture search and SageMaker Automated Model Tuning

By Admin 19/01/2024

AWS Machine Learning Blog In this post, we demonstrate how to use neural architecture search (NAS) based structural pruning to compress a fine-tuned BERT model to improve model performance and reduce inference times. Pre-trained language models (PLMs) are undergoing rapid commercial and enterprise adoption in the areas of productivity tools, customer service, search and recommendations, […]Continue reading

How to Align Talent Management with Business Strategy in Asia-Pacific

By Admin 10/05/2023

Categories RSS Feed Learn about case studies that demonstrate how talent management priorities align with business strategy in the Asia-Pacific region. Go to Source 10/05/2023 – 21:00 /HR Exchange Network Editorial Team Twitter: @hoffeldtcom

Question answering using Retrieval Augmented Generation with foundation models in Amazon SageMaker JumpStart

By Admin 02/05/2023

AWS Machine Learning Blog Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart. Text generation using RAG with LLMs enables you to generate domain-specific text outputs by supplying specific external data as part of the […]Continue reading