GenAI News

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 solutions. They use real-time data and machine learning (ML) to offer customized loans that fuel...

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 complex reasoning tasks such as summarization and decision-making. Prompt engineering and supervised fine-tuning, which use...

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 constantly seeking ways to use their vast amounts of information to gain competitive advantages. OMRON Corporation...

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 with our customer growth strategy and to collaborate with the entire sales team on long-term...

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 we at Amazon Web Services (AWS) are working on AI Workforce—a system that uses drones...

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 multi-step dynamic reasoning and execution. Examples of tasks that require dynamic reasoning and execution are...
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