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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning Blog

ZOO Digital provides end-to-end localization and media services to adapt original TV and movie content to different languages, regions, and cultures. Trusted by the biggest names in entertainment, ZOO Digital delivers high-quality localization and media services at scale, including dubbing, subtitling, scripting, and compliance.

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Use Amazon SageMaker Studio to build a RAG question answering solution with Llama 2, LangChain, and Pinecone for fast experimentation

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A typical RAG solution for knowledge retrieval from documents uses an embeddings model to convert the data from the data sources to embeddings and stores these embeddings in a vector database. In this post, we demonstrate how to use Amazon SageMaker Studio to build a RAG question answering solution. embeddings.

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Semantic image search for articles using Amazon Rekognition, Amazon SageMaker foundation models, and Amazon OpenSearch Service

AWS Machine Learning Blog

Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Overview of solution The solution is divided into two main sections. For this solution, you use GPT-J 6B Embedding from Hugging Face.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

However, when building generative AI applications, you can use an alternative solution that allows for the dynamic incorporation of external knowledge and allows you to control the information used for generation without the need to fine-tune your existing foundational model. Before you get started with the solution, create an AWS account.

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