GenAI News
Transforming financial analysis with CreditAI on Amazon Bedrock: Octus’s journey with...
Investment professionals face the mounting challenge of processing vast amounts of data to make timely, informed decisions. The traditional approach of manually sifting through...
Amazon Bedrock announces general availability of multi-agent collaboration
Today, we’re announcing the general availability (GA) of multi-agent collaboration on Amazon Bedrock. This capability allows developers to build, deploy, and manage networks of...
Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion
This post is co-authored with Sundeep Sardana, Malolan Raman, Joseph Lam, Maitri Shah and Vaibhav Singh from Verisk.
Verisk (Nasdaq: VRSK) is a leading strategic...
Announcing general availability of Amazon Bedrock Knowledge Bases GraphRAG with Amazon...
Today, Amazon Web Services (AWS) announced the general availability of Amazon Bedrock Knowledge Bases GraphRAG (GraphRAG), a capability in Amazon Bedrock Knowledge Bases that...
Evaluate RAG responses with Amazon Bedrock, LlamaIndex and RAGAS
In the rapidly evolving landscape of artificial intelligence, Retrieval Augmented Generation (RAG) has emerged as a game-changer, revolutionizing how Foundation Models (FMs) interact with...
Build a Multi-Agent System with LangGraph and Mistral on AWS
Agents are revolutionizing the landscape of generative AI, serving as the bridge between large language models (LLMs) and real-world applications. These intelligent, autonomous systems...
Innovating at speed: BMW’s generative AI solution for cloud incident analysis
This post was co-authored with Johann Wildgruber, Dr. Jens Kohl, Thilo Bindel, and Luisa-Sophie Gloger from BMW Group.
The BMW Group—headquartered in Munich, Germany—is a vehicle...
Ground truth generation and review best practices for evaluating generative 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...
Time series forecasting with LLM-based foundation models and scalable AIOps on...
Time series forecasting is critical for decision-making across industries. From predicting traffic flow to sales forecasting, accurate predictions enable organizations to make informed decisions,...
Dynamic metadata filtering for Amazon Bedrock Knowledge Bases with LangChain
Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. It’s...
