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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

Using its enterprise software, FloTorch conducted an extensive comparison between Amazon Nova models and OpenAIs GPT-4o models with the Comprehensive Retrieval Augmented Generation (CRAG) benchmark dataset. Five domains in CRAG dataset are Finance, Sports, Music, Movie, and Open (miscellaneous).

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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. For example, there could be leakage of benchmark datasets’ questions and answers into training data. Anthropic Claude 3.5 Kensho is the AI Innovation Hub for S&P Global.

Finance 123
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Maximizing ROI with CPQ: 10 Best Practices for Sales Success

Cincom

Coordinate among your sales, finance, and operations teams to identify pain points where CPQ can accelerate deal velocity and improve accuracy. Use APIs and middleware to bridge gaps between CPQ and existing enterprise systems, ensuring smooth data flow. Implement event-driven architecture where updates in CRM (e.g.,

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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Purina’s solution is deployed as an API Gateway HTTP endpoint, which routes the requests to obtain pet attributes.

APIs 118
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Build well-architected IDP solutions with a custom lens – Part 5: Cost optimization

AWS Machine Learning

For example, during the project planning phase, you should invest in cloud financial management skills and tools, and align finance and tech teams to incorporate both business and technology perspectives. Most importantly, you need to establish collaboration between finance and technology. Let’s consider different project phases.

Finance 103
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Build well-architected IDP solutions with a custom lens – Part 4: Performance efficiency

AWS Machine Learning

You can save time, money, and labor by implementing classifications in your workflow, and documents go to downstream applications and APIs based on document type. This helps you avoid throttling limits on API calls due to polling the Get* APIs. His interests include serverless architectures and AI/ML.

APIs 114
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How CPQ Helps B2B eCommerce Businesses Close More Deals Faster

Cincom

5- Inefficient Collaboration Between Sales, Finance, and Operations B2B sales dont happen in isolationeach deal requires input from multiple departments. Sales teams need accurate pricing from finance, product availability from operations, and approval from leadership. Shopify, Magento, Salesforce Commerce Cloud).

B2B 40