The Future of AI: How Lovable.dev and Azure OpenAI Accelerate Apps that Change Lives
Discover how Charles Elwood, a Microsoft AI MVP and TEDx Speaker, leverages Lovable.dev and Azure OpenAI to create impactful AI solutions. From automating expense reports to restoring voices, translating gestures to speech, and visualizing public health data, Charles's innovations are transforming lives and democratizing technology. Follow his journey to learn more about AI for good.
Announcing the Text PII August preview model release in Azure AI language
Azure AI Language is excited to announce a new preview model release for the PII (Personally Identifiable Information) redaction service, which includes support for more entities and languages, addressing customer-sourced scenarios and international use cases. What’s New | Updated Model 2025-08-01-preview Tier 1 language support for DateOfBirth entity: expanding upon the original English-only support earlier this year, we’ve added support for all Tier 1 languages: French, German, Italian, Spanish, Portuguese, Brazilian Portuguese, and Dutch New entity support: SortCode - a financial code used in the UK and Ireland to identify the specific bank and branch where an account is held. Currently we support this in only English. LicensePlateNumber - the standard alphanumeric code for vehicle identification. Note that our current scope does not support a license plate that contains only letters. Currently we support this in only English. AI quality improvements for financial entities, reducing false positives/negatives These updates respond directly to customer feedback and address gaps in entity coverage and language support. The broader language support enables global deployments and the new entity types allow for more comprehensive data extraction for our customers. This ensures an improved service quality for financial, criminal justice, and many other regulatory use cases, enabling more accurate and reliable service for our customers. Get started A more detailed tutorial and overview of the service feature can be found in our public docs. Learn more about these releases and several others enhancing our Azure AI Language offerings on our What’s new page. Explore Azure AI Language and its various capabilities Access full pricing details on the Language Pricing page Find the list of sensitive PII entities supported Try out Azure AI Foundry for a code-free experience We are looking forward to continuously improving our product offerings and features to meet customer needs and are keen to hear any comments and feedback.Your Video Insights, Promptly Extracted: Azure AI Video Indexer's Preview of Prompt-Ready API
Have you ever watched an online course and wished you could ask questions on the entire course, or have a comprehensive summary of a video? This can all now be achieved with Azure AI Video Indexer and an LLM (Large Language Model) – powering each other. LLMs are powerful language models that can capture the essence of text and allow natural language question-answering and much more. In Azure AI Video Indexer, we understand videos – video content is more than just words, and a single shot can contain a wealth of insights that are critical for its understanding. Coupling these two powerful tools can lead to great results in video understanding, and downstream tasks in natural language. Our new API extracts and processes all the multi-modality insights of a video into prompt-ready format, that can be easily used with LLMs.Document Redaction and Sanitization with ChatGPT on Azure
Privacy and Security are the topmost priorities for Consumers and Businesses. Bad actors can steal the information when it is in transit between the systems, when it is being processed or even when archived. Large Language Models have opened doors for more effective ways of sanitizing the documents. In this article I will provide some examples of how to sanitize the documents using ChatGPT on Azure. What is Document Redaction and Sanitization? It is the process of removing or replacing any information that is considered as sensitive, private or confidential. What types of information needs redaction? Following are some sensitive information types that needs redaction: Personally Identifiable and Information (PII): Anything information that helps identify a person called needs to be redacted. Examples include people's names, addresses, social security numbers, drivers license etc. Protected Health Information(PHI) : Health related information such as patient’s medical records, insurance group numbers, benefit information etc. Business Confidential Information: Organizational information such as employee records, biometric records, business related secrets, contractual information, financial documents, judicial records etc. Using ChatGPT on Azure for Redacting and Sanitizing the documents: Example 1: Sanitize the sensitive information from an Invoice The sample invoice I am going to use is in scanned format. As ChatGPT can only take plain text as input currently, we first have to digitalize the invoice. Form Recognizer service is a very effective way of digitizing the scanned documents. Below is a screenshot from Form Recognizer with the Invoice example: After extracting the data from the invoice using Form Recognizer and some cleansing, we will have the plain text something like below: You will find the responses below from ChatGPT for my redaction and sanitizing instructions: Prompt: Show me all the references of PII below: Prompt: redact all references of PII data below: Prompt: Replace all occurrences of Contoso with LinkedIn: Prompt: convert all dates to MON-DD-YYYY format. show me only dates: Example 2: Sanitize information from a Health Insurance Card for PHI data: Similar to the above example, I used the Form Recognizer service to extract the information from a health insurance card. Below are some examples on how to sanitize the PHI information. Prompt: show me all references of PHI: Prompt: redact all references of people names below: You can continue with various redaction and sanitization activities in the document such as replacing text, removing text, translating text, converting currencies etc. All the Best! Note 1: The responses may vary depending on the hyperparameters like Temperature, Top Probabilities etc. Note 2: I also encourage you all to try the same prompts on text-davinci-003 model also.Introducing Native Document Support for PII Detection (Public Preview)
This capability can now identify, categorize, and redact sensitive information (PII - Personally Identifiable Information) in unstructured text directly from complex documents, allowing users to ensure data privacy compliance within a streamlined workflow. It effortlessly detects and safeguards crucial information, adhering to the highest standards of data privacy and security.
