Gen AI News Talk
Evaluate models or RAG systems using Amazon Bedrock Evaluations – Now generally available
Organizations deploying generative AI applications need robust ways to evaluate their performance and reliability. When we launched LLM-as-a-judge (LLMaJ) and Retrieval Augmented Generation (RAG)...
How Lumi streamlines loan approvals with Amazon SageMaker AI
This post is co-written with Paul Pagnan from Lumi.
Lumi is a leading Australian fintech lender empowering small businesses with fast, flexible, and transparent funding...
Fine-tune large language models with reinforcement learning from human or AI feedback
Large language models (LLMs) can be used to perform natural language processing (NLP) tasks ranging from simple dialogues and information retrieval tasks, to more...
Shaping the future: OMRON’s data-driven journey with AWS
This post is co-written with Emrah Kaya and Xinyi Zhou from Omron Europe.
Data is one of the most critical assets of many organizations. They’re...
How AWS Sales uses generative AI to streamline account planning
Every year, AWS Sales personnel draft in-depth, forward looking strategy documents for established AWS customers. These documents help the AWS Sales team to align...
AI Workforce: using AI and Drones to simplify infrastructure inspections
Inspecting wind turbines, power lines, 5G towers, and pipelines is a tough job. It’s often dangerous, time-consuming, and prone to human error. That’s why...
Using Large Language Models on Amazon Bedrock for multi-step task execution
The goal of this blog post is to show you how a large language model (LLM) can be used to perform tasks that require...
Ray jobs on Amazon SageMaker HyperPod: scalable and resilient distributed AI
Foundation model (FM) training and inference has led to a significant increase in computational needs across the industry. These models require massive amounts of...
Introducing AWS MCP Servers for code assistants (Part 1)
We’re excited to announce the open source release of AWS MCP Servers for code assistants — a suite of specialized Model Context Protocol (MCP)...
Harness the power of MCP servers with Amazon Bedrock Agents
AI agents extend large language models (LLMs) by interacting with external systems, executing complex workflows, and maintaining contextual awareness across operations. Amazon Bedrock Agents...
