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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 106
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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 123
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Speed up your time series forecasting by up to 50 percent with Amazon SageMaker Canvas UI and AutoML APIs

AWS Machine Learning

SageMaker Canvas supports a number of use cases, including time-series forecasting used for inventory management in retail, demand planning in manufacturing, workforce and guest planning in travel and hospitality, revenue prediction in finance, and many other business-critical decisions where highly-accurate forecasts are important.

APIs 118
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Unlocking insights and enhancing customer service: Intact’s transformative AI journey with AWS

AWS Machine Learning

Frontend and API The CQ application offers a robust search interface specially crafted for call quality agents, equipping them with powerful auditing capabilities for call analysis. Additionally, the application offers backend dashboards tailored to MLOps functionalities, ensuring smooth monitoring and optimization of machine learning models.

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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 100
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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 107
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Enterprise-grade natural language to SQL generation using LLMs: Balancing accuracy, latency, and scale

AWS Machine Learning

Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. The end-user sends their natural language queries to the NL2SQL solution using a REST API. Amazon API Gateway is used to provision the REST API, which can be secured by Amazon Cognito.