Curated articles, resources, tips and trends from the DevOps World.
Large language models are inefficient, period. That’s apparent at AWS re:Invent this week. Inference is a hot topic, and conversations center on how to make the most of LLMs, considering the cost of training and the energy consumption required.
Las Vegas — Amazon Web Services released on Tuesday three new artificial intelligence capabilities that will allow developers to more easily modernize and migrate legacy applications en masse, specifically those on Windows .NET, VMware and mainframes.
Every day, thousands of modern web applications are developed and launched, and with this proliferation comes increasing complexity. Over time, many developers encounter challenges related to optimizing application performance. Progressive hydration is one technique to address these issues.
In our ongoing series about building enterprise-ready AI agents, we’ve explored various crucial components — including personas, instructions, tasks, conversation memory, and persistence (see links above).
Today, we’re announcing the general availability of Amazon SageMaker HyperPod recipes to help data scientists and developers of all skill sets to get started training and fine-tuning foundation models (FMs) in minutes with state-of-the-art performance.
Enterprises and startups must be everywhere in the remote work and cloud acceleration boom. They’re migrating from fixed locations, connecting global offices, and embracing distributed workloads.
Building on the work that we and our partners have been doing for many years, Amazon is committing up to $100 million in cloud technology and technical resources to help existing, dedicated learning organizations reach more learners by creating new and innovative digital learning solutions, all as p
Today, we announced a new capability of Amazon Q in QuickSight that helps users perform scenario analyses to find answers to complex problems quickly.
As a data scientist, I’ve experienced firsthand the challenges of making machine learning (ML) accessible to business analysts, marketing analysts, data analysts, and data engineers who are experts in their domains without ML experience.
Today, we’re announcing the preview of multimodal toxicity detection with image support in Amazon Bedrock Guardrails.
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