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 117

APIs Banking Accountability industry standards 117

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 136

Best practices Engineering Chatbots Enterprise 136

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 125

Healthcare Government Engineering APIs 125

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 99

Metrics Best practices Analytics Accountability 99

delighted

DECEMBER 10, 2019

Experiential metrics such as Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), and Customer Effort Score (CES) are industry standards for quantifying customer sentiment for various customer experience touchpoints. Step 1: Agree on the customer experience metric(s) you’ll track.

Customer Experience 40

Customer Experience Metrics Finance industry standards 40

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 132

Finance Benchmark industry standards Accountability 132

AWS Machine Learning

NOVEMBER 29, 2023

For example, the EU AI Act is tasked providing information on which datasets are used for training, what compute power is required to run the model, report model results against public/industry-standard benchmarks and share results of internal and external testing. Model fine-tuners want to solve specific tasks (e.g.

Benchmark 121

Benchmark Metrics Engineering APIs 121