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AI-powered assistants for investment research with multi-modal data: An application of Agents for Amazon Bedrock

AWS Machine Learning - AI

You can now use Agents for Amazon Bedrock and Knowledge Bases for Amazon Bedrock to build specialized agents and AI-powered assistants that run actions based on natural language input prompts and your organization’s data. Both the action groups and knowledge base are optional and not required for the agent itself.

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Cepsa Química improves the efficiency and accuracy of product stewardship using Amazon Bedrock

AWS Machine Learning - AI

An approach to product stewardship with generative AI Large language models (LLMs) are trained with vast amounts of information crawled from the internet, capturing considerable knowledge from multiple domains. However, their knowledge is static and tied to the data used during the pre-training phase.

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Boost team productivity with Amazon Q Business Insights

AWS Machine Learning - AI

The Unsuccessful query responses and Customer feedback metrics help pinpoint gaps in the knowledge base or areas where the system struggles to provide satisfactory answers. Enforce financial services compliance with Amazon Q Business analytics Maintaining regulatory compliance while enabling productivity is a delicate balance.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning - AI

After the profile is converted into text that explains the profile, a RAG framework is launched using Amazon Bedrock Knowledge Bases to retrieve related industry insights (articles, pain points, and so on). Building your knowledge base for the industry insights document is the final prerequisite.

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Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock

AWS Machine Learning - AI

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI , allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in enhanced task-specific capabilities.

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Using Interface Classification in Kentik Detect

Kentik

Associating the classification information of interfaces with the flows that pass through those interfaces makes it possible for queries to segment traffic based on interface characteristics. For a closer look at how this is achieved, check out the Interface Classification article in our Knowledge Base.

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Lost in Translation

Strategy Driven

It means distilling raw information into a “story” about our customers, our business growth levers, and the business challenges we face – all with a view of moving the business forward. SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.