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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

Five domains in CRAG dataset are Finance, Sports, Music, Movie, and Open (miscellaneous). simple Finance Did meta have any mergers or acquisitions in 2022? Amazon Bedrock APIs make it straightforward to use Amazon Titan Text Embeddings V2 for embedding data. simple_w_condition Open Can i make cookies in an air fryer?

Benchmark 113
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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning

Sonnet currently ranks at the top of S&P AI Benchmarks by Kensho , which assesses large language models (LLMs) for finance and business. We have also heard from customers that highly ranked general benchmark LLMs don’t necessarily provide them with the best performance for their given finance and business applications.

Finance 124
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Generative AI operating models in enterprise organizations with Amazon Bedrock

AWS Machine Learning

Large organizations often have many business units with multiple lines of business (LOBs), with a central governing entity, and typically use AWS Organizations with an Amazon Web Services (AWS) multi-account strategy. LOBs have autonomy over their AI workflows, models, and data within their respective AWS accounts.

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Amazon SageMaker JumpStart adds fine-tuning support for models in a private model hub

AWS Machine Learning

After they develop their custom FM, it can serve as a baseline for the entire organization, and individual departmentssuch as legal, finance, or customer servicecan fine-tune these models using their department-specific data that might be subject to different privacy requirements or access controls.

APIs 109
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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning

For organizations deploying LLMs in production applicationsparticularly in critical domains such as healthcare, finance, or legal servicesthese residual hallucinations pose serious risks, potentially leading to misinformation, liability issues, and loss of user trust. User submits a question When is re:Invent happening this year?,

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Syngenta develops a generative AI assistant to support sales representatives using Amazon Bedrock Agents

AWS Machine Learning

Agent architecture The following diagram illustrates the serverless agent architecture with standard authorization and real-time interaction, and an LLM agent layer using Amazon Bedrock Agents for multi-knowledge base and backend orchestration using API or Python executors. Domain-scoped agents enable code reuse across multiple agents.

Sales 109
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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning

Data privacy and network security With Amazon Bedrock, you are in control of your data, and all your inputs and customizations remain private to your AWS account. Your data remains in the AWS Region where the API call is processed. It is highly recommended that you use a separate AWS account and setup AWS Budget to monitor the costs.