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Llama 3, Meta’s latest large language model (LLM), has taken the artificial intelligence (AI) world by storm with its impressive capabilities. As developers and businesses explore the potential of this powerful model, crafting effective prompts is key to unlocking its full potential. In this post, we dive into the best practices and techniques for prompting …

Best prompting practices for using Meta Llama 3 with Amazon SageMaker JumpStart Read More »

In this post, we discuss how generative artificial intelligence (AI) can help health insurance plan members get the information they need. Many health insurance plan beneficiaries find it challenging to navigate through the complex member portals provided by their insurance plans. These portals often require multiple clicks, filters, and searches to find specific information about …

How healthcare payers and plans can empower members with generative AI Read More »

As generative AI moves from proofs of concept (POCs) to production, we’re seeing a massive shift in how businesses and consumers interact with data, information—and each other. In what we consider “Act 1” of the generative AI story, we saw previously unimaginable amounts of data and compute create models that showcase the power of generative …

Enabling production-grade generative AI: New capabilities lower costs, streamline production, and boost security Read More »

Thomson Reuters, a global content and technology-driven company, has been using artificial intelligence and machine learning (AI/ML) in its professional information products for decades. The introduction of generative AI provides another opportunity for Thomson Reuters to work with customers and advance how they do their work, helping professionals draw insights and automate workflows, enabling them …

Scaling Thomson Reuters’ language model research with Amazon SageMaker HyperPod Read More »

New support from Google.org and Grow with Google aim to equip U.S. small businesses with AI tools, training and resources to grow.

Introducing DataGemma, the first open models designed to connect LLMs with extensive real-world data drawn from Google’s Data Commons.

We are thrilled to introduce Amazon Elastic Kubernetes Service (Amazon EKS) support in Amazon SageMaker HyperPod, a purpose-built infrastructure engineered with resilience at its core. This capability allows for the seamless addition of SageMaker HyperPod managed compute to EKS clusters, using automated node and job resiliency features for foundation model (FM) development. FMs are typically …

Introducing Amazon EKS support in Amazon SageMaker HyperPod Read More »

Data contains information, and information can be used to predict future behaviors, from the buying habits of customers to securities returns. Businesses are seeking a competitive advantage by being able to use the data they hold, apply it to their unique understanding of their business domain, and then generate actionable insights from it. The financial …

A review of purpose-built accelerators for financial services Read More »

Time series data is a distinct category that incorporates time as a fundamental element in its structure. In a time series, data points are collected sequentially, often at regular intervals, and they typically exhibit certain patterns, such as trends, seasonal variations, or cyclical behaviors. Common examples of time series data include sales revenue, system performance …

Anomaly detection in streaming time series data with online learning using Amazon Managed Service for Apache Flink Read More »

Technology operations (TechOps) refers to the set of processes and activities involved in managing and maintaining an organization’s IT infrastructure and services. There are several terminologies used with reference to managing information technology operations, including ITOps, SRE, AIOps, DevOps, and SysOps. For the context of this post, we refer to these terminologies as TechOps. This …

Generative AI-powered technology operations Read More »