AI21 Labs Jamba-Instruct model is now available in Amazon Bedrock

Favorite We are excited to announce the availability of the Jamba-Instruct large language model (LLM) in Amazon Bedrock. Jamba-Instruct is built by AI21 Labs, and most notably supports a 256,000-token context window, making it especially useful for processing large documents and complex Retrieval Augmented Generation (RAG) applications. What is Jamba-Instruct

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Shared by AWS Machine Learning June 26, 2024

Automate derivative confirms processing using AWS AI services for the capital markets industry

Favorite Capital markets operation teams face numerous challenges throughout the post-trade lifecycle, including delays in trade settlements, booking errors, and inaccurate regulatory reporting. For derivative trades, it’s even more challenging. The timely settlement of derivative trades is an onerous task. This is because trades involve different counterparties and there is

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Shared by AWS Machine Learning June 26, 2024

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

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