article thumbnail

Harnessing the power of enterprise data with generative AI: Insights from Amazon Kendra, LangChain, and large language models

AWS Machine Learning

Instead of relying solely on their pre-trained knowledge, RAG allows models to pull data from documents, databases, and more. Foundation Models Pharma Ad Generator – A specialized application tailored for the pharmaceutical industry. The user uploads one or more documents into Amazon S3.

article thumbnail

Accelerate multilingual workflows with a customizable translation solution built with Amazon Translate

AWS Machine Learning

They need to translate and localize content such as marketing materials, product content assets, operational manuals, and legal documents. Using Amazon API Gateway , these features are exposed as one simple /translate API. Therefore, another API /customterm is exposed. API Gateway validates the API key.

APIs 69
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Process mortgage documents with intelligent document processing using Amazon Textract and Amazon Comprehend

AWS Machine Learning

Organizations in the lending and mortgage industry process thousands of documents on a daily basis. From a new mortgage application to mortgage refinance, these business processes involve hundreds of documents per application. This initiates a document classification process to categorize the documents into known categories.

APIs 84
article thumbnail

Philips accelerates development of AI-enabled healthcare solutions with an MLOps platform built on Amazon SageMaker

AWS Machine Learning

Reproducibility and traceability must be enabled automatically by the end-to-end data processing pipelines, where many mandatory documentation artifacts, such as data lineage reports and model cards, can be prepared automatically. These reports document the versioning of datasets, models, and code.

article thumbnail

Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Accelerate your security and AI/ML learning with best practices guidance, training, and certification AWS also curates recommendations from Best Practices for Security, Identity, & Compliance and AWS Security Documentation to help you identify ways to secure your training, development, testing, and operational environments.

article thumbnail

Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning

Here are some features which we will cover: AWS CloudFormation support Private network policies for Amazon OpenSearch Serverless Multiple S3 buckets as data sources Service Quotas support Hybrid search, metadata filters, custom prompts for the RetreiveAndGenerate API, and maximum number of retrievals.

APIs 97
article thumbnail

Top 10 Trends for Enterprise SaaS in 2022

SmartKarrot

Due to constantly changing industry standards and specific individual organizational requirements, the need for a comprehensive list of features for each enterprise SaaS is more important than ever before. Application Programming Interfaces (API). Cloud Integration.

SaaS 10