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Agentic AI design: An architectural case study

CIO

With all this talk, you would think it is easy to define what qualifies as agentic AI, but it isn’t always straightforward. An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction. Let’s start with the basics: What is an agent?

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Organizations are increasingly using multiple large language models (LLMs) when building generative AI applications. For instance, consider an AI-driven legal document analysis system designed for businesses of varying sizes, offering two primary subscription tiers: Basic and Pro. 70B and 8B.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. Data: Policy forms Mozart is designed to author policy forms like coverage and endorsements.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Generative AI question-answering applications are pushing the boundaries of enterprise productivity. These assistants can be powered by various backend architectures including Retrieval Augmented Generation (RAG), agentic workflows, fine-tuned large language models (LLMs), or a combination of these techniques.

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

With Amazon Bedrock and other AWS services, you can build a generative AI-based email support solution to streamline email management, enhancing overall customer satisfaction and operational efficiency. AI integration accelerates response times and increases the accuracy and relevance of communications, enhancing customer satisfaction.

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Unit 42 Predicts the Year of Disruption and Other Top Threats in 2025

Palo Alto Networks

Additionally, the cost of cyber disruption will increase next year as businesses experience downtime due to cyberattacks and scramble to implement defenses fit for the AI-enabled attacker era. In 2025, attackers will begin developing and testing generative AI technologies to use over the next 3-5 years.

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Medical content creation in the age of generative AI

AWS Machine Learning - AI

Generative AI and transformer-based large language models (LLMs) have been in the top headlines recently. These models demonstrate impressive performance in question answering, text summarization, code, and text generation. The imperative for regulatory oversight of large language models (or generative AI) in healthcare.