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Amazon Bedrock

How Mend.io discovered concealed patterns in CVE data using Anthropic Claude on the Amazon Bedrock platform

The field of cybersecurity is continually evolving, and AI solutions that can efficiently handle and analyze vast amounts of data are the need of the hour. One such solution is provided by Anthropic Claude on Amazon Bedrock, a generative AI model that can analyze the unstructured data in Common Vulnerabilities and Exposures (CVEs) reports. MEND.io,…

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Safe AccountingAI Chatbot: Lili’s Adventure with Amazon Bedrock

This blog post was written in collaboration with Lili, a financial platform that offers advanced business banking along with integrated accounting and tax preparation software. The post focuses on how Lili used Amazon Bedrock's artificial intelligence (AI) capabilities to design AccountantAI, an intelligent chatbot specifically developed to provide on-demand accounting advice to small business owners. Given…

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Filtering of metadata for table data using Knowledge Bases in Amazon Bedrock

Amazon Bedrock, a full-service provider of high-functioning foundation models (FMs) utilizing artificial intelligence (AI) from leading companies, is improving data retrieval with a new feature: metadata filtering. Amazon Bedrock's Knowledge Bases helps with Retrieval Augmented Generation (RAG), a method for fetching company data and enhancing prompts to provide more accurate results. The new update announced on…

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Using Amazon Translate, Amazon Bedrock, and Amazon Polly for automated video voice-over.

Breaking linguistic barriers, increasing audience engagement, and expanding market reach can be greatly facilitated by video dubbing, or content localization, which replaces the original spoken language in a video with another language while synchronizing the audio and video. However, traditional methods of video dubbing are costly and time-consuming, with rates of roughly $20 per minute…

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Customizing models in Amazon Bedrock through automation using AWS Step Functions workflow.

Amazon Web Services (AWS) recently introduced support for customizing models in Amazon Bedrock, a fully managed service for AI applications. The key role of Amazon Bedrock is to provide high-performing foundation language models from leading AI firms like Cohere and Meta. It aids businesses in using their proprietary data to pre-train their models according to…

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Utilizing Agents for Amazon Bedrock to interactively produce infrastructure as a code.

In the evolving landscape of cloud infrastructure, Agents for Amazon Bedrock stands as a promising tool for enhancing infrastructure as code (IaC) processes. This platform employs artificial intelligence to automate the triggering and orchestration of user-requested tasks, augmenting them with company-specific information. The process involves analyzing cloud architecture diagrams, which are then converted into Terraform…

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Enabling all with GenAI to quickly develop, tailor, and safely launch apps: Key points from the AWS New York Summit

Organizations are increasingly investing in artificial intelligence (AI) to help employees complete their tasks more efficiently and innovate their operations. Tapping into this potential, Amazon has developed a comprehensive generative AI stack to help organizations build and scale customized AI applications. At the top of this stack, Amazon has its AI-powered assistant, Amazon Q. Amazon Q…

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Highlights from the AWS New York Summit: Providing everyone with GenAI tools for quick, secure and personalized app development and deployment.

Generative AI is revolutionizing work environments, promoting innovation and enhancing app user experiences. To actualize its benefits, businesses must invest in generative AI stacks that can scale to their needs, ensuring robust infrastructure and data protection. Amazon has played a key role here, with twice as many generative and machine learning features introduced compared to…

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