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How AWS Sales uses generative AI to streamline account planning

AWS Machine Learning

These documents are internally called account plans (APs). In 2024, this activity took an account manager (AM) up to 40 hours per customer. In this post, we showcase how the AWS Sales product team built the generative AI account plans draft assistant. Its a game-changer for serving my full portfolio of accounts.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

Solution overview Our solution implements a verified semantic cache using the Amazon Bedrock Knowledge Bases Retrieve API to reduce hallucinations in LLM responses while simultaneously improving latency and reducing costs. Lets assume that the question What date will AWS re:invent 2024 occur? is within the verified semantic cache.

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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

OpenAI launched GPT-4o in May 2024, and Amazon introduced Amazon Nova models at AWS re:Invent in December 2024. Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. The growing need for cost-effective AI models The landscape of generative AI is rapidly evolving.

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Your guide to generative AI and ML at AWS re:Invent 2024

AWS Machine Learning

Learn how they created specialized agents for different tasks like account management, repos, pipeline management, and more to help their developers go faster. First, hear an overview of identity-aware APIs, and then learn how to configure an identity provider as a trusted token issuer.

APIs 88
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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning

Introducing Field Advisor In April 2024, we launched our AI sales assistant, which we call Field Advisor, making it available to AWS employees in the Sales, Marketing, and Global Services organization, powered by Amazon Q Business.

Sales 92
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From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2

AWS Machine Learning

An alternative approach to routing is to use the native tool use capability (also known as function calling) available within the Bedrock Converse API. In this scenario, each category or data source would be defined as a ‘tool’ within the API, enabling the model to select and use these tools as needed. Put your the code in tags. -

APIs 113
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GraphStorm 0.3: Scalable, multi-task learning on graphs with user-friendly APIs

AWS Machine Learning

With GraphStorm, you can build solutions that directly take into account the structure of relationships or interactions between billions of entities, which are inherently embedded in most real-world data, including fraud detection scenarios, recommendations, community detection, and search/retrieval problems. Specifically, GraphStorm 0.3

APIs 111