​[[{“value”:” Today, we are excited to announce general availability of batch inference for Amazon Bedrock. This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Call center… Read More »Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock Ishan Singh AWS Machine Learning Blog

​[[{“value”:” Fine-tuning Meta Llama 3.1 models with Amazon SageMaker JumpStart enables developers to customize these publicly available foundation models (FMs). The Meta Llama 3.1 collection represents a significant advancement in the field of generative artificial intelligence (AI), offering a range of capabilities to create innovative… Read More »Fine-tune Meta Llama 3.1 models for generative AI inference using Amazon SageMaker JumpStart Xin Huang AWS Machine Learning Blog

​[[{“value”:” Microsoft has recently expanded its artificial intelligence capabilities by introducing three sophisticated models: Phi 3.5 Mini Instruct, Phi 3.5 MoE (Mixture of Experts), and Phi 3.5 Vision Instruct. These models represent significant advancements in natural language processing, multimodal AI, and high-performance computing, each designed… Read More »Microsoft AI Releases Phi 3.5 mini, MoE and Vision with 128K context, Multilingual and MIT License Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Neuro-symbolic artificial intelligence (NeSy AI) is a rapidly evolving field that seeks to combine the perceptive abilities of neural networks with the logical reasoning strengths of symbolic systems. This hybrid approach is designed to address complex tasks that require both pattern recognition and deductive… Read More »EXPLAIN, AGREE, LEARN (EXAL) Method: A Transforming Approach to Scaling Learning in Neuro-Symbolic AI with Enhanced Accuracy and Efficiency for Complex Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Customer reviews can reveal customer experiences with a product and serve as an invaluable source of information to the product teams. By continually monitoring these reviews over time, businesses can recognize changes in customer perceptions and uncover areas of improvement. Analyzing these reviews to… Read More »Analyze customer reviews using Amazon Bedrock Rajesh Sripathi AWS Machine Learning Blog

​[[{“value”:” The capacity of platooning technology to precisely control cars, optimize traffic flow, and increase energy economy is well known. Platooning reduces aerodynamic drag, boosts fuel efficiency, and expands road capacity by enabling vehicles to move in close proximity and in unison. However, a number… Read More »Optimizing Large-Scale Mixed Platoons: A Nested Graph Reinforcement Learning Approach for Enhanced Decision-Making Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative artificial intelligence (AI), particularly Retrieval Augmented Generation (RAG) solutions, are rapidly demonstrating their vast potential to revolutionize enterprise operations. RAG models combine the strengths of information retrieval systems with advanced natural language generation, enabling more contextually accurate and informative outputs. From automating customer… Read More »Accuracy evaluation framework for Amazon Q Business Julia Hu AWS Machine Learning Blog

​[[{“value”:” Today, physicians spend about 49% of their workday documenting clinical visits, which impacts physician productivity and patient care. Did you know that for every eight hours that office-based physicians have scheduled with patients, they spend more than five hours in the EHR? As a… Read More »Elevate healthcare interaction and documentation with Amazon Bedrock and Amazon Transcribe using Live Meeting Assistant Wrick Talukdar AWS Machine Learning Blog

​[[{“value”:” Amazon DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. Amazon DataZone allows you to create and manage data zones, which are virtual data lakes that store… Read More »Unlock the power of data governance and no-code machine learning with Amazon SageMaker Canvas and Amazon DataZone Aparajithan Vaidyanathan AWS Machine Learning Blog

​[[{“value”:” This post is co-written with Kristina Olesova, Zdenko Esetok, and Selimcan akar from Accenture. In today’s data-driven world, organizations often face the challenge of extracting structured information from unstructured PDF documents. These PDFs can contain a myriad of elements, such as images, tables, headers,… Read More »Accelerate performance using a custom chunking mechanism with Amazon Bedrock Kristin Olesova AWS Machine Learning Blog