Favorite AWS offers powerful generative AI services, including Amazon Bedrock, which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. Many businesses want to integrate these cutting-edge AI capabilities with their existing collaboration
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Shared by AWS Machine Learning October 31, 2024
Favorite Here are four AI voice models from Google Arts & Culture that offer a new way to experience and engage with art, history and culture. View Original Source (blog.google/technology/ai/) Here.
Favorite Sentence transformers are powerful deep learning models that convert sentences into high-quality, fixed-length embeddings, capturing their semantic meaning. These embeddings are useful for various natural language processing (NLP) tasks such as text classification, clustering, semantic search, and information retrieval. In this post, we showcase how to fine-tune a sentence
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Shared by AWS Machine Learning October 30, 2024
Favorite Global Resiliency is a new Amazon Lex capability that enables near real-time replication of your Amazon Lex V2 bots in a second AWS Region. When you activate this feature, all resources, versions, and aliases associated after activation will be synchronized across the chosen Regions. With Global Resiliency, the replicated
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Shared by AWS Machine Learning October 30, 2024
Favorite Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. Formalizing and documenting this invaluable resource can help organizations maintain institutional memory, drive innovation, enhance
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Shared by AWS Machine Learning October 30, 2024
Favorite Learn more from a Google expert about CPUs, GPUs and TPUs — and Google latest TPU, Trillium. View Original Source (blog.google/technology/ai/) Here.
Favorite This post is part of an ongoing series on governing the machine learning (ML) lifecycle at scale. To start from the beginning, refer to Governing the ML lifecycle at scale, Part 1: A framework for architecting ML workloads using Amazon SageMaker. A multi-account strategy is essential not only for
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Shared by AWS Machine Learning October 29, 2024
Favorite Enterprises in industries like manufacturing, finance, and healthcare are inundated with a constant flow of documents—from financial reports and contracts to patient records and supply chain documents. Historically, processing and extracting insights from these unstructured data sources has been a manual, time-consuming, and error-prone task. However, the rise of
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Shared by AWS Machine Learning October 29, 2024
Favorite Professionals in a wide variety of industries have adopted digital video conferencing tools as part of their regular meetings with suppliers, colleagues, and customers. These meetings often involve exchanging information and discussing actions that one or more parties must take after the session. The traditional way to make sure
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Shared by AWS Machine Learning October 29, 2024
Favorite Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies such as AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative
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Shared by AWS Machine Learning October 29, 2024
Shared by AWS Machine Learning October 31, 2024
