O'Reilly Media

NOVEMBER 19, 2024

One popular term encountered in generative AI practice is retrieval-augmented generation (RAG). Reasons for using RAG are clear: large language models (LLMs), which are effectively syntax engines, tend to “hallucinate” by inventing answers from pieces of their training data. LLMs only provide one piece of the AI puzzle.

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AWS Machine Learning Blog

MARCH 10, 2025

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. These operational inefficiencies meant that we had to revisit our solution architecture. Enter Amazon Bedrock Knowledge Bases.

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AWS Machine Learning Blog

NOVEMBER 24, 2023

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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AWS Machine Learning Blog

MARCH 31, 2023

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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AWS Machine Learning Blog

NOVEMBER 17, 2023

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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Flipboard

DECEMBER 6, 2023

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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Heartbeat

JANUARY 9, 2024

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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