Your guide to generative AI and ML at AWS re:Invent 2023 | Amazon Web Services
Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! You marked your calendars, you booked your hotel, and you even purchased…
Amazon Machine Learning
Build a contextual chatbot for financial services using Amazon SageMaker JumpStart, Llama 2 and Amazon OpenSearch Serverless with Vector Engine | Amazon Web Services
The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. In addition, customers are looking for choices to…
Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation | Amazon Web Services
Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need…
Moderate your Amazon IVS live stream using Amazon Rekognition | Amazon Web Services
Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let you build interactive video experiences and…
Foundational vision models and visual prompt engineering for autonomous driving applications | Amazon Web Services
Prompt engineering has become an essential skill for anyone working with large language models (LLMs) to generate high-quality and relevant texts. Although text prompt engineering has been widely discussed, visual…
Principal Financial Group uses AWS Post Call Analytics solution to extract omnichannel customer insights | Amazon Web Services
An established financial services firm with over 140 years in business, Principal is a global investment management leader and serves more than 62 million customers around the world. Principal is…
Flag harmful content using Amazon Comprehend toxicity detection | Amazon Web Services
Online communities are driving user engagement across industries like gaming, social media, ecommerce, dating, and e-learning. Members of these online communities trust platform owners to provide a safe and inclusive…
Explore advanced techniques for hyperparameter optimization with Amazon SageMaker Automatic Model Tuning | Amazon Web Services
Creating high-performance machine learning (ML) solutions relies on exploring and optimizing training parameters, also known as hyperparameters. Hyperparameters are the knobs and levers that we use to adjust the training…
Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga? | Amazon Web Services
There’s a kind of magic that surrounds a soccer shot so powerful, it leaves spectators, players, and even commentators in a momentary state of awe. Think back to a moment…
Develop generative AI applications to improve teaching and learning experiences | Amazon Web Services
Recently, teachers and institutions have looked for different ways to incorporate artificial intelligence (AI) into their curriculums, whether it be teaching about machine learning (ML) or incorporating it into creating…