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Imperva optimizes SQL generation from natural language using Amazon Bedrock

Imperva optimizes SQL generation from natural language using Amazon Bedrock

This is a guest post co-written with Ori Nakar from Imperva. Imperva Cloud WAF protects hundreds of thousands of websites against cyber threats and blocks billions of security events every day. Counters and insights based on security events are calculated daily and used by users from multiple departments. Millions of counters are added daily, together …

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Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

Create natural conversations with Amazon Lex QnAIntent and Knowledge Bases for Amazon Bedrock

Customer service organizations today face an immense opportunity. As customer expectations grow, brands have a chance to creatively apply new innovations to transform the customer experience. Although meeting rising customer demands poses challenges, the latest breakthroughs in conversational artificial intelligence (AI) empowers companies to meet these expectations. Customers today expect timely responses to their questions …

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Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Evaluate the reliability of Retrieval Augmented Generation applications using Amazon Bedrock

Retrieval Augmented Generation (RAG) is a technique that enhances large language models (LLMs) by incorporating external knowledge sources. It allows LLMs to reference authoritative knowledge bases or internal repositories before generating responses, producing output tailored to specific domains or contexts while providing relevance, accuracy, and efficiency. RAG achieves this enhancement without retraining the model, making …

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Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

AWS customers that implement secure development environments often have to restrict outbound and inbound internet traffic. This becomes increasingly important with artificial intelligence (AI) development because of the data assets that need to be protected. Transmitting data across the internet is not secure enough for highly sensitive data. Therefore, accessing AWS services without leaving the …

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Maximize your Amazon Translate architecture using strategic caching layers

Maximize your Amazon Translate architecture using strategic caching layers

Amazon Translate is a neural machine translation service that delivers fast, high quality, affordable, and customizable language translation. Amazon Translate supports 75 languages and 5,550 language pairs. For the latest list, see the Amazon Translate Developer Guide. A key benefit of Amazon Translate is its speed and scalability. It can translate a large body of …

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Deploy a Slack gateway for Amazon Bedrock

Deploy a Slack gateway for Amazon Bedrock

In today’s fast-paced digital world, streamlining workflows and boosting productivity are paramount. That’s why we’re thrilled to share an exciting integration that will take your team’s collaboration to new heights. Get ready to unlock the power of generative artificial intelligence (AI) and bring it directly into your Slack workspace. Imagine the possibilities: Quick and efficient …

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Improving air quality with generative AI

Improving air quality with generative AI

As of this writing, Ghana ranks as the 27th most polluted country in the world, facing significant challenges due to air pollution. Recognizing the crucial role of air quality monitoring, many African countries, including Ghana, are adopting low-cost air quality sensors. The Sensor Evaluation and Training Centre for West Africa (Afri-SET), aims to use technology …

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Use zero-shot large language models on Amazon Bedrock for custom named entity recognition

Use zero-shot large language models on Amazon Bedrock for custom named entity recognition

Name entity recognition (NER) is the process of extracting information of interest, called entities, from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an NFL game summary, products mentioned in an AWS keynote transcript, or …

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Safeguard a generative AI travel agent with prompt engineering and Guardrails for Amazon Bedrock

Safeguard a generative AI travel agent with prompt engineering and Guardrails for Amazon Bedrock

In the rapidly evolving digital landscape, travel companies are exploring innovative approaches to enhance customer experiences. One promising solution is the integration of generative artificial intelligence (AI) to create virtual travel agents. These AI-powered assistants use large language models (LLMs) to engage in natural language conversations, providing personalized recommendations, answering queries, and guiding customers through …

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Streamline financial workflows with generative AI for email automation

Streamline financial workflows with generative AI for email automation

Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on labor-intensive manual document processing. This represents a major opportunity for businesses …

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