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How Amazon Shopping uses Amazon Rekognition Content Moderation to review harmful images in product reviews

AWS Machine Learning Blog

System complexity – The architecture complexity requires investments in MLOps to ensure the ML inference process scales efficiently to meet the growing content submission traffic. With the high accuracy of Amazon Rekognition, the team has been able to automate more decisions, save costs, and simplify their system architecture.

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A Guide to LLMOps: Large Language Model Operations

Heartbeat

Large language models have emerged as ground-breaking technologies with revolutionary potential in the fast-developing fields of artificial intelligence (AI) and natural language processing (NLP). The way we create and manage AI-powered products is evolving because of LLMs. What is LLMOps?

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Automating product description generation with Amazon Bedrock

AWS Machine Learning Blog

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. In this post, we dive into how Amazon Bedrock is transforming the product description generation process, empowering e-retailers to efficiently scale their businesses while conserving valuable time and resources.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. He is focusing on system architecture, application platforms, and modernization for the cabinet. Solutions Architect on the Amazon Lex team.

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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning Blog

In this section, we briefly introduce the system architecture. We’ll delve deeper into live stream text and audio moderation using AWS AI services in upcoming posts. It also includes a light human review portal, empowering moderators to monitor streams, manage violation alerts, and stop streams when necessary.

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How Q4 Inc. used Amazon Bedrock, RAG, and SQLDatabaseChain to address numerical and structured dataset challenges building their Q&A chatbot

Flipboard

needed to address some of these challenges in one of their many AI use cases built on AWS. Amazon Bedrock Amazon Bedrock is a fully managed service that offers a choice of high-performing FMs from leading companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon.

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Data Intelligence empowers informed decisions

Pickl AI

Data Intelligence takes that data, adds a touch of AI and Machine Learning magic, and turns it into insights. Involves human input to define goals, provide initial data, and evaluate AI systems outputs. Utilising advanced natural language processing algorithms. Imagine this: we collect loads of data, right?