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Benchmarking Amazon Nova and GPT-4o models with FloTorch

AWS Machine Learning

How do Amazon Nova Micro and Amazon Nova Lite perform against GPT-4o mini in these same metrics? Five domains in CRAG dataset are Finance, Sports, Music, Movie, and Open (miscellaneous). simple Finance Did meta have any mergers or acquisitions in 2022? simple_w_condition Open Can i make cookies in an air fryer?

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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. These applications require the LLMs to have requisite domain knowledge and be able to reason about numeric data to calculate metrics and extract insights. Anthropic Claude 3.5 Anthropic Claude 3.5

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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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Generative AI operating models in enterprise organizations with Amazon Bedrock

AWS Machine Learning

To facilitate this, the centralized account uses API gateways or other integration points provided by the LOBs AWS accounts. Inference profiles can be defined to track Amazon Bedrock usage metrics, monitor model invocation requests, or route model invocation requests to multiple AWS Regions for increased throughput.

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Evaluate large language models for your machine translation tasks on AWS

AWS Machine Learning

The translation playground could be adapted into a scalable serverless solution as represented by the following diagram using AWS Lambda , Amazon Simple Storage Service (Amazon S3), and Amazon API Gateway. Also note the completion metrics on the left pane, displaying latency, input/output tokens, and quality scores.

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How Veritone uses Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and information retrieval to update their video search pipeline

AWS Machine Learning

Amazon Transcribe The transcription for the entire video is generated using the StartTranscriptionJob API. The solution runs Amazon Rekognition APIs for label detection , text detection, celebrity detection , and face detection on videos. The metadata generated for each video by the APIs is processed and stored with timestamps.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning

Services range from financing and investment to property management. AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards.