resources learn privacy-redaction 
AWS Machine Learning
MARCH 25, 2024
It uses machine learning–powered automatic speech recognition (ASR), automatic language identification, and post-processing technologies. In this blog post, you will learn how to power your applications with Amazon Transcribe capabilities in a way that meets your security requirements.
AWS Machine Learning
OCTOBER 4, 2022
Due to the breadth and depth of data being ingested from multiple sources, businesses look for solutions to protect their customers’ privacy and keep sensitive data from being accessed from end systems. Redacting PII entities helps you protect your customer’s privacy and comply with local laws and regulations. Costs involved.
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AWS Machine Learning
MARCH 12, 2024
In this post, we discuss how Leidos worked with AWS to develop an approach to privacy-preserving large language model (LLM) inference using AWS Nitro Enclaves. This can be accomplished with input data before being sent to a model or an LLM trained to redact their responses automatically.
AWS Machine Learning
NOVEMBER 3, 2022
The phases we discuss in this post use the following key services: Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning (ML) models that have been pre-trained to understand and extract health data from medical text, such as prescriptions, procedures, or diagnoses. Conclusion.
AWS Machine Learning
FEBRUARY 29, 2024
The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store. How will my privacy be protected?
Help Scout
JULY 15, 2021
Along with the standard support responsibilities, there are added challenges unique to the education industry that make providing support more difficult — things like strict privacy laws that govern how you can interact with clients and the need to support an extremely varied base of users, to name a few. Pain point #1: Privacy concerns.
AWS Machine Learning
NOVEMBER 10, 2023
Organizations looking to use LLMs to power their applications are increasingly wary about data privacy to ensure trust and safety is maintained within their generative AI applications. Detecting and redacting any PII is essential. This includes handling customers’ personally identifiable information (PII) data properly.
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