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Learn from MS AI School how to use Computer Vision as a part of Artificial Intelligence
Learn with MS AI School how to use Azure Cognitive services to create applications that can extract semantic meaning from unstructured text and translate them between different languages.
A Simple Introduction to Natural Language Processing in Azure.
Using the tools in Microsoft AI School to get quickly familiar with AI Computer Vision
In this article, you will learn about Azure AI No-Code Visual Tools to Kickstart your Learning.
The Microsoft AI School is Microsoft's AI (Artificial Intelligence) learning platform that features some of the greatest and latest content for data scientists and developers to get started and dive deep into the Microsoft AI platform and deep learning.
Learn NLP with Microsoft AI school
Learn from MS AI School how to implement text extraction solutions from images and documents using Computer Vision
Learn about AI school to build speech enabled applications
These computer science terms are used interchangeably, which frequently leads to confusion about their differences. To simplify their understanding we need to look at their differences.
ID Cards Data Extraction using Power Automate and AI Builder.
This article talks about how you can redact sensitive information before passing data to OpenAI.
Delve into the realm of "General AI," envisioning artificial intelligence mirroring human cognition. Explore potential benefits like versatility, problem-solving, and innovation juxtaposed with ethical concerns, job displacement, and security risks. Balancing its promise demands ethical considerations, multidisciplinary collaboration, and robust governance frameworks.
Semantic Search represents a significant shift in how we interact with information. As technology advances, Engines will become even better at grasping complex concepts and nuances in language. As voice assistants become more sophisticated, semantic search will be crucial for accurate and natural interactions. Search engines will become personal knowledge hubs, anticipating our needs and offering relevant information even before we ask.
Why is this fascinating field important? Semantics touches almost every aspect of our lives, from the clarity of legal documents to the power of poetry. It helps us build smarter AI systems that truly understand language, craft convincing arguments, and bridge cultural divides through effective communication.
Generative AI, GitHub Co PIlot, VS Code, Python, C#, typescript, Devops, Code Generation. Code debugging, Code Refactoring, Code Cleanup
Form Recognizer is a cloud-based machine learning service offered by Microsoft Azure that allows users to extract text, key-value pairs, and tables from documents.
Learn what skills you need to become a prompt engineer. A prompt engineer, a specialist in NLP and AI, is pivotal in refining human-AI interactions. This role demands interdisciplinary skills, blending computer science, linguistics, and psychology to craft effective prompts and enhance AI comprehension. The educational journey typically involves degrees in relevant fields and continuous learning in AI, NLP, and data science. Hands-on experience with AI models, critical thinking, and clear communication skills are integral to mastering prompt engineering. As the field evolves, prompt engineers are crucial in shaping the dynamics of human-AI engagement.
Responsible AI and Generative AI are two separate concepts that address different aspects of AI (artificial intelligence). In this write up you will get clear idea about these two concepts as well as get idea how to implement the AI technologies in the industry ethically, fairly and responsively for betterment of human kind.
In the quiet space of tech mishaps, there's a story about an AI experiment that stumbled in the shadows, leaving behind echoes of errors and unfinished dreams.
This article talks about Prompt Engineering and some techniques for developing Prompts.
It's true that AI is transforming the future of work, but it doesn't mean human jobs are in danger. Learn how AI tools can enhance your skills, make you more valuable to your company, and keep you ahead of the technology curve. In addition, the article emphasizes the importance of ethical guidelines for the use of artificial intelligence.
In this post, we will see all the steps to create a powerful chatbot using Azure Open AI with .NET 6 and Angular 16.
This article provides you insight of getting started with Azure OpenAI Service with an example of GPT 35 Turbo model.
In this post, we will see all the steps to convert text to speech using Azure AI speech service with Angular 16 and .NET 6 applications.
This article will explore the distinctions between Semantic Kernel and Azure OpenAI. This article is all about comparison of Semantic Kernel and Azure OpenAI provides a clear and concise understanding of the differences between these two platforms. The table-format overview effectively summarizes the key features and distinctions, making it easy for readers to comprehend the variations in type, supported models, integration, orchestration, and customization capabilities.
what is text analysis in AI, what are the techniques available in the text analaysis, how it would be beneficial to the business, the number of use cases available for the text analaysis and finally the conclusion is discussed in this article
In this post, we will see how to record audio from microphone and convert to a text using Azure AI Speech and .NET 6 Web API. We are using Angular 16 on the client side
Let's learn about particle swarm optimization (PSO) using the metaphor of a flock of birds searching for food. Then let's explore an easy to understand implementation using C#.
In this post we will see what Conversational Language Understanding (CLU) is in Azure Language.
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