A Technology Broker and Management Company Specializing in KM Systems
Favorite As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time consuming, inconsistent, and not readily
Read More
Shared by AWS Machine Learning July 17, 2024
Favorite AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere
Read More Shared by AWS Machine Learning July 17, 2024
Favorite As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard customer privacy within expanding digital
Read More Shared by AWS Machine Learning July 17, 2024
Favorite Artists in Residence at the Google Arts & Culture Lab are developing playful tools to inspire creativity with gen AI – discover how their latest experiments can be a sou… View Original Source (blog.google/technology/ai/) Here.
Favorite Your multi-account strategy is the core of your foundational environment on AWS. Design decisions around your multi-account environment are critical for operating securely at scale. Grouping your workloads strategically into multiple AWS accounts enables you to apply different controls across workloads, track cost and usage, reduce the impact of
Read More Shared by AWS Machine Learning July 16, 2024
Favorite In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the vast amounts of data and complex algorithms involved. Without a structured framework, the process can become prohibitively time-consuming, costly,
Read More Shared by AWS Machine Learning July 16, 2024
Favorite Here’s how this model came to be. View Original Source (blog.google/technology/ai/) Here.
Favorite This post is co-written with Vlad Lebedev and DJ Charles from Mixbook. Mixbook is an award-winning design platform that gives users unrivaled creative freedom to design and share one-of-a-kind stories, transforming the lives of more than six million people. Today, Mixbook is the #1 rated photo book service in
Read More Shared by AWS Machine Learning July 15, 2024
Favorite This post is co-written with MagellanTV and Mission Cloud. Video dubbing, or content localization, is the process of replacing the original spoken language in a video with another language while synchronizing audio and video. Video dubbing has emerged as a key tool in breaking down linguistic barriers, enhancing viewer
Read More Shared by AWS Machine Learning July 15, 2024
Favorite The Open Source Initiative (OSI) is pleased to share that we are joining the founding team of Open Forum for AI (OFAI), an initiative designed by Carnegie Mellon University (CMU) to foster a human-centered approach to artificial intelligence. OFAI aims to enhance our understanding of AI and its potential
Read More
Shared by voicesofopensource July 15, 2024