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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning

At AWS re:Invent 2023, we announced the general availability of Knowledge Bases for Amazon Bedrock. Use hybrid search and semantic search options via SDK When you call the Retrieve API, Knowledge Bases for Amazon Bedrock selects the right search strategy for you to give you most relevant results.

APIs 106
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Schneider Electric leverages Retrieval Augmented LLMs on SageMaker to ensure real-time updates in their ERP systems

AWS Machine Learning

Enterprise Resource Planning (ERP) systems are used by companies to manage several business functions such as accounting, sales or order management in one system. In particular, they are routinely used to store information related to customer accounts.

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Build brand loyalty by recommending actions to your users with Amazon Personalize Next Best Action

AWS Machine Learning

You can get started without any prior ML experience, using APIs to easily build sophisticated personalization capabilities in a few clicks. Next Best Action takes the in-session interests of each user into account and provides action recommendations in real time. All your data is encrypted to be private and secure.

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JustCall vs Aircall: A Comprehensive Comparison in 2023

JustCall

Native conversation intelligence platform and call analytics to ramp up agent performance Agent performance & coaching: Call monitoring and performance evaluation. The post JustCall vs Aircall: A Comprehensive Comparison in 2023 appeared first on.

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FMOps/LLMOps: Operationalize generative AI and differences with MLOps

AWS Machine Learning

These teams are as follows: Advanced analytics team (data lake and data mesh) – Data engineers are responsible for preparing and ingesting data from multiple sources, building ETL (extract, transform, and load) pipelines to curate and catalog the data, and prepare the necessary historical data for the ML use cases.

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UCcaS,CCaaS,CPaaS – Everything You Need to Know

Hodusoft

Businesses of every size, type, and industry can benefit from using cloud services for a variety of reasons such as: Data backup Software development and testing Email Disaster recovery Virtual desktops Big data analytics Customer-facing web applications, and more. billion by 2023.

APIs 52
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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning

Code talks – In this new session type for re:Invent 2023, code talks are similar to our popular chalk talk format, but instead of focusing on an architecture solution with whiteboarding, the speakers lead an interactive discussion featuring live coding or code samples. Some of these appeal to beginners, and others are on specialized topics.