Here you’ll find everything about AI use cases, including Python tutorials on implementing specific use cases.
A machine learning use case is a specific application or instance of using algorithms and techniques to solve a problem or accomplish a task. It typically involves a combination of data preparation, model selection, training, and deployment. AI and machine learning are closely related. In fact, machine learning is a subset of AI, which refers to the use of algorithms and statistical models to enable a system to improve and learn from data over time. In other words, machine learning algorithms allow AI systems to automatically learn and improve from experience, without being explicitly programmed. AI can be applied in a wide range of industries and applications. Some common examples of AI in action include virtual assistants like Siri and Alexa, which use natural language processing to understand and respond to user requests. Another example is self-driving cars. They use a combination of computer vision and machine learning algorithms to navigate roads and traffic. Additionally, AI is often used in healthcare, finance, and other industries. In all these industries, AI improves decision-making, automate processes, and enhance the customer experience.
OpenAI and Microsoft have just released a new generation of text-to-speech models that take synthetic speech to a new level. In my latest project I have combined these new models with Azure OpenAI’s ingenuine conversation capacity. The result is a conversational voice bot that uses Generative AI to converse with users in natural spoken language. … Read more
In an age where data is the cornerstone of decision-making, the ability to interact seamlessly with databases is invaluable. This is where Text-to-SQL, powered by Large Language Models (LLMs), is revolutionizing the way we handle data. But what exactly is Text-to-SQL, and how are LLMs like GPT-3 and Google’s PaLM making a difference? Text-to-SQL technology … Read more
Welcome to the dawn of a new era in digital interaction! With the advent of Generative AI, we’re witnessing a remarkable revolution that’s changing the very nature of how we interact with software and digital services. This change is monumental. Leading the charge are the latest generation of AI-powered virtual assistants, aka “AI copilots”. Unlike … Read more
Artificial Intelligence (AI), in particular, the advent of OpenAI’s ChatGPT, has revolutionized how we interact with technology. Chatbots powered by this advanced language model can engage users in intricate, natural language conversations, marking a significant shift in AI capabilities. However, one thing that ChatGPT isn’t designed for is integrating personalized or proprietary knowledge – it’s … Read more
Artificial intelligence (AI) continues its rapid evolution, with new advancements and innovations emerging on a frequent basis. A key enabler of these advancements is the robust infrastructure needed to store, process, and analyze colossal amounts of data. One critical part of this infrastructure is the vector database, a powerful solution for managing unstructured data types … Read more
It’s no secret that Large Language Models (LLMs) are a powerful tool for automating social media tasks. Not only can they be used to curate relevant content that matches your audience’s interests, but also can they create the content and tailor them to the interests of your customers. This article describes how to create a … Read more
Many people use ChatGPT for its text-generation capability and have included it in their day-to-day workflows. However, few people may know that you can use it to create multi-agent conversations between fictional and nonfictional characters. Ever wondered if AI could take you on a time-traveling journey to eavesdrop on a chat between an 18th-century Pirate … Read more
In the age of information overload, finding what you need quickly and efficiently is more important than ever. OpenAI’s GPT technology has the potential to reduce friction between products and services, making it easier for individuals and businesses to find what they need. In this article, we’ll explore some specific examples of how OpenAI is … Read more
In a previous article, we looked at the value proposition of generative AI and ChatGPT (What is the Business Value of OpenAI’s GPT Models (ChatGPT)?). A standout feature of ChatGPT is its ability to write in different styles and tones. Whether you’re aiming for a professional message, a friendly vibe, a sprinkle of humor and … Read more
OpenAI’s GPT models, such as Davinci and ChatGPT, have gained recognition for their impressive language generation abilities. However, many of the tasks that GPT models can perform are not entirely new and could have been accomplished by traditional neural network models for some time. In specific tasks such as sentiment analysis, more specialized models could … Read more
You haven’t had enough of the recent hype about OpenAI? Fantastic! Let’s explore the business use cases for ChatGPT and other Large Language Models (LLMs). ChatGPT is often considered the beginning of a new era of AI adoption. A growing number of ChatGPT users are now using AI in their personal workflows. However, adoption in … Read more
