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Implement exact match with Amazon Lex QnAIntent

Favorite This post is a continuation of Creating Natural Conversations with Amazon Lex QnAIntent and Amazon Bedrock Knowledge Base. In summary, we explored new capabilities available through Amazon Lex QnAIntent, powered by Amazon Bedrock, that enable you to harness natural language understanding and your own knowledge repositories to provide real-time,

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Shared by AWS Machine Learning June 25, 2024

Build safe and responsible generative AI applications with guardrails

Favorite Large language models (LLMs) enable remarkably human-like conversations, allowing builders to create novel applications. LLMs find use in chatbots for customer service, virtual assistants, content generation, and much more. However, the implementation of LLMs without proper caution can lead to the dissemination of misinformation, manipulation of individuals, and the

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Shared by AWS Machine Learning June 25, 2024

Build an automated insight extraction framework for customer feedback analysis with Amazon Bedrock and Amazon QuickSight

Favorite Extracting valuable insights from customer feedback presents several significant challenges. Manually analyzing and categorizing large volumes of unstructured data, such as reviews, comments, and emails, is a time-consuming process prone to inconsistencies and subjectivity. Scalability becomes an issue as the amount of feedback grows, hindering the ability to respond

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Shared by AWS Machine Learning June 25, 2024

Open Source AI Definition – Weekly update June 24

Favorite Explaining the concept of Data information Following @stefano’s publication regarding why the OSI considers training data to be “optional” under the checklist in Open Source AI Definition, the debate has continued. Here are the main points: Preferred Form of Modification @hartmans states finding an agreement on the meaning of

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Shared by voicesofopensource June 24, 2024

eSentire delivers private and secure generative AI interactions to customers with Amazon SageMaker

Favorite eSentire is an industry-leading provider of Managed Detection & Response (MDR) services protecting users, data, and applications of over 2,000 organizations globally across more than 35 industries. These security services help their customers anticipate, withstand, and recover from sophisticated cyber threats, prevent disruption from malicious attacks, and improve their

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Shared by AWS Machine Learning June 21, 2024

Connect to Amazon services using AWS PrivateLink in Amazon SageMaker

Favorite 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,

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Shared by AWS Machine Learning June 20, 2024