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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

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Chatbot: Complete Guide

JivoChat

Chatbots have become a success around the world, and nowadays are used by 58% of B2B companies and 42% of B2C companies. In 2022 at least 88% of users had one conversation with chatbots. There are many reasons for that, a chatbot is able to simulate human interaction and provide customer service 24h a day. What Is a Chatbot?

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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

After ingestion, images can be searched via the Amazon Kendra search console, API, or SDK. You can then search for images using natural language queries, such as “Find images of red roses” or “Show me pictures of dogs playing in the park,” through the Amazon Kendra console, SDK, or API.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

Main use cases are around human-like chatbots, summarization, or other content creation such as programming code. Text-to-image – Labeled data, such as pairs of , has been used to train FMs, which are able to predict the best combination of pixels. 15K available FM reference Step 1.

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Incorporate offline and online human – machine workflows into your generative AI applications on AWS

AWS Machine Learning

You can build such chatbots following the same process. You can easily build such chatbots following the same process. UI and the Chatbot example application to test human-workflow scenario. In our example, we used a Q&A chatbot for SageMaker as explained in the previous section.

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Integrate QnABot on AWS with ServiceNow

AWS Machine Learning

Conversational AI (or chatbots) can help triage some of these common IT problems and create a ticket for the tasks when human assistance is needed. Chatbots quickly resolve common business issues, improve employee experiences, and free up agents’ time to handle more complex problems.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning

medium instance to demonstrate deploying LLMs via SageMaker JumpStart, which can be accessed through a SageMaker-generated API endpoint. Instead, adhere to the security best practices in AWS Identity and Access Management (IAM), and create an administrative user and group. We use an ml.t3.medium