Amazon Personalize, a machine learning (ML) technology used for customizing user experiences, has announced the general availability of two advanced recipes named User-Personalization-v2 and Personalized-Ranking-v2. These features utilize the Transformers architecture to support larger quantities of item catalogs with lower latency.
The new features are improvements on previous versions, particularly in terms of scalability, latency, model…
Generative artificial intelligence (AI) is capable of transforming customer experiences across industries. It provides a set of comprehensive capabilities across three key layers: the infrastructure for training models and producing predictions, tools for building robust AI applications, and innovative applications that are game-changing. The emphasis in this discussion will be on the top application layer.…
Cohere has teamed up with Amazon Web Services (AWS) to offer its Command R and R+ models on SageMaker JumpStart, a suite of capabilities of the SageMaker end-to-end machine learning (ML) platform. Both models are designed to excel at real-world enterprise-level applications and are optimized for retrieval-augmented generation (RAG) workflows – tasks that involve conversational…
Cohere, in collaboration with Amazon, has made available its foundational models of Command R and R+ on Amazon SageMaker JumpStart, a system allowing users to deploy and run inferences. These models are the latest in retrieval augmented generation (RAG), delivering enterprise-grade workloads through efficient, accurate, and scalable language models. The tool supports multiple languages, including…
Amazon Personalize has recently announced the integration of automatic training for solutions. This exciting development guarantees a more accurate and personalized user experience by keeping their recommendations current and in line with evolving user preferences.
To gain a better understanding of how Amazon Personalize works, it's necessary to be familiar with certain terms. A "solution",…
Slack, now part of Salesforce, has joined forces with Amazon SageMaker JumpStart to introduce AI services that will improve data searching, summarization, and security for users. The collaboration involves leveraging SageMaker JumpStart's large language models (LLMs) in a way that data stays within Slack's infrastructure and does not get shared with external model providers. The…
AWS recently connected with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global AI conference held in March 2024 in San Jose, California. During the conference, AWS and NVIDIA celebrated their 13-year collaboration, highlighting their ongoing efforts to enable developers access to cutting-edge AI technology, including AWS’s pioneering role in offering NVIDIA…
Knowledge Bases for Amazon Bedrock is a new feature that allows users to securely connect foundation models (FMs) to their corporate data for Retrieval Augmented Generation (RAG). This improves the precision of responses by providing access to a broader range of data without having to retrain the foundation models.
There are two new features specific…