AWS Machine Learning

JULY 9, 2024

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

Finance Benchmark industry standards Accountability 124

AWS Machine Learning

JANUARY 7, 2025

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. Strategy for TM knowledge base The LLM translation playground offers two options to incorporate the translation memory into the prompt.

Engineering 104

Engineering Metrics industry standards Finance 104

AWS Machine Learning

AUGUST 26, 2022

The following is a high-level overview of the steps involved: Extract UTF-8 encoded plain text from image or PDF files using the Amazon Textract DetectDocumentText API. For structured and semi-structured documents containing forms and tables, we use the Amazon Textract AnalyzeDocument API. Train a custom classifier using the CSV file.

APIs 105

APIs Banking Accountability industry standards 105

Cincom

JANUARY 30, 2025

Ensure that the software supports open APIs to allow smooth data exchange across platforms. 3- Advanced Analytics and Reporting Data-driven decisions are key to success in the financial services and insurance industries. 5- Compliance Management In regulated industries like finance and insurance, compliance is non-negotiable.

Multi-channel support 40

Multi-channel support CRM Finance APIs 40

AWS Machine Learning

MARCH 14, 2024

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon via a single API. This is because such tasks require organization-specific data and workflows that typically need custom programming.

Best practices 129

Best practices Engineering Chatbots Enterprise 129

AWS Machine Learning

NOVEMBER 16, 2023

These capabilities are essential for demonstrating compliance with regulatory standards and ensuring transparency and accountability in AI/ML workflows. AI/ML specification report generation for regulatory compliance AWS maintains compliance certifications for various industry standards and regulations.

Healthcare 112

Healthcare Government Engineering APIs 112

AWS Machine Learning

JUNE 25, 2024

Solution overview The Neuron Monitor container solution provides a comprehensive monitoring framework for ML workloads on Amazon EKS, using the power of Neuron Monitor in conjunction with industry-standard tools like Prometheus , Grafana , and Amazon CloudWatch. She is focused on running large scale AI/ML workloads on Kubernetes.

Metrics 90

Metrics Best practices Analytics Accountability 90