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Amazon Bedrock

Simplify the development of generative AI in Amazon Bedrock using Prompt Management and Prompt Flows (preliminary view).

Amazon Bedrock is introducing two new features; Prompt Management and Prompt Flows. These tools are set to expedite the design, testing, and execution of generative Artificial Intelligence (AI) applications. Developers will be able to create more effective solutions, which will also be easier to maintain. As generative AI gains traction, many organizations are facing challenges in…

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Implementing protective measures in Knowledge Bases for Amazon Bedrock

Amazon Bedrock's Knowledge Bases feature is aimed at securely linking foundation models with company data using Retrieval Augmented Generation (RAG). This boosts the RAG workflow, eliminating the need for custom data source integrations and data flow management. Guardrails for Amazon Bedrock enables organizations to implement safeguards tailored to their use cases and responsible AI policies.…

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Creating medical content in the era of generative artificial intelligence.

The AWS Generative AI Innovation Center has developed an AI assistant for generating medical content using language learning models (LLMs). Notably, the assistant can reduce content generation time for disease awareness marketing from weeks to hours. Through automation, users can provide the AI with instructions and comments, allowing editing and control over the generation process.…

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Create your personal calendar assistant capable of multiple languages using Amazon Bedrock and AWS Step Functions.

Foreigners and expatriates residing outside their home countries are frequently confronted with language barriers while trying to decipher emails and set reminders for various events such as business meetings, customer gatherings, and more. Amazon has developed a way to eradicate these language barriers by creating a fully automated, multilingual calendar Artificial Intelligence (AI) assistant utilizing…

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Develop a comprehensive serverless digital assistant for semantic search using Amazon Bedrock.

Artificial intelligence (AI) has increasingly marked its presence in enterprises. More organizations leverage and customize digital assistants to answer domain-specific queries using a process called Retrieval Augmented Generation (RAG). As companies shift from concepts to production workloads, the focus turns to minimizing operational overhead while optimizing costs and implementing proper security measures. This article covers the…

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Utilizing metadata filtering for access control in vector stores coupled with Knowledge Bases for Amazon Bedrock.

In November 2023, Amazon announced the general availability of Knowledge Bases for Amazon Bedrock. Knowledge bases enable users to incorporate their company data into the Retrieval Augmented Generation (RAG) process, enhancing the relevance, accuracy, and contextual awareness of the language model’s outputs. This tool helps organizations make better use of large language models by ensuring…

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Create a digital helper for self-service using Amazon Lex and Knowledge Bases for Amazon Bedrock

Efficient automated customer service is a goal for many businesses, and AI-powered chatbots can provide human-like interactions without the need for live agents. This frees up the agents for more complex tasks. Among these AI-powered tools are Amazon Lex and Amazon Bedrock. Lex offers advanced conversational interfaces, utilizing voice and text channels to provide accurate…

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Develop generative AI applications using Amazon Bedrock – a secure, compliant, and responsibly established platform.

Amazon Bedrock, a fully managed service by AWS, provides access to large language models and other foundation models from top AI companies through a single API. This article explores the reasons why customers opt for Bedrock, focusing on its ability to build a secure and responsible foundation for generative AI applications. Amazon Bedrock addresses security…

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Create a discussion-oriented bot by incorporating various Language Learning Models (LLMs) within a single platform – Segment 1.

Generative AI and foundation models (FMs) are offering new possibilities for content generation, particularly in areas such as answering questions and summarizing documents. Companies such as Amazon, Anthropic, AI21 Labs, Cohere, and Meta supply these models. Amazon Bedrock, a fully managed service, streamlines the process of building and scaling generative AI applications. It provides access…

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