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​[[{“value”:” 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) evaluation capabilities in public preview at AWS re:Invent 2024, customers used them to assess their foundation models (FMs) and generative… Read More »Evaluate models or RAG systems using Amazon Bedrock Evaluations – Now generally available Adewale Akinfaderin AWS Machine Learning Blog

​[[{“value”:” 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 instructions and examples demonstrating the… Read More »Fine-tune large language models with reinforcement learning from human or AI feedback Jeremy Curuksu AWS Machine Learning Blog

​[[{“value”:” 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 sustainable growth and solve… Read More »How Lumi streamlines loan approvals with Amazon SageMaker AI Daniel Wirjo AWS Machine Learning Blog

​This post is divided into three parts; they are: • Understanding Text Embeddings • Other Techniques to Generate Embedding • How to Get a High-Quality Text Embedding? Text embeddings are to use numerical vectors to represent text. This post is divided into three parts; they are:… Read More »Text Embedding Generation with Transformers Muhammad Asad Iqbal Khan MachineLearningMastery.com

​[[{“value”:” 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 growth ideas for AWS customers.… Read More »How AWS Sales uses generative AI to streamline account planning Saksham Kakar AWS Machine Learning Blog

​[[{“value”:” 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 is a leading… Read More »Shaping the future: OMRON’s data-driven journey with AWS Emrah Kaya, Xinyi Zhou AWS Machine Learning Blog

​[[{“value”:” 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 and AI to make these… Read More »AI Workforce: using AI and Drones to simplify infrastructure inspections Miguel Munoz de Rivera Gonzalez AWS Machine Learning Blog

​Clustering is a widely applied method in many domains like customer and image segmentation, image recognition, bioinformatics, and anomaly detection, all to group data into clusters in terms of similarity. Clustering is a widely applied method in many domains like customer and image segmentation, image recognition,… Read More »The Beginner’s Guide to Clustering with Python Iván Palomares Carrascosa MachineLearningMastery.com