AWS Machine Learning Blog As more powerful large language models (LLMs) are used to perform a variety of tasks with greater accuracy, the number of applications and services that are being built with generative artificial intelligence (AI) is also growing. With great power comes responsibility, and organizations want to make sure that these LLMs produce […]Continue reading
AWS Machine Learning Blog Personalized customer experiences are essential for engaging today’s users. However, delivering truly personalized experiences that adapt to changes in user behavior can be both challenging and time-consuming. Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without […]Continue reading
AWS Machine Learning Blog Embeddings are integral to various natural language processing (NLP) applications, and their quality is crucial for optimal performance. They are commonly used in knowledge bases to represent textual data as dense vectors, enabling efficient similarity search and retrieval. In Retrieval Augmented Generation (RAG), embeddings are used to retrieve relevant passages from […]Continue reading
