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We'll cover the tools, resources, and basic steps you need to take to start experimenting with generative ai, whether you're a complete beginner or have some technical background. Generative ai specializes in creating new content by learning the underlying patterns from input data, enabling it to generate original and realistic outputs such as written text, images, music, or software code Learn key concepts, applications, and how to start your ai journey.
By understanding the basics of generative ai models, you empower yourself to make responsible decisions when using these models
This knowledge allows you to critically evaluate outputs, assess their reliability, and understand potential limitations leading to more informed and effective interactions with generative ai. Learn generative ai basics, from nlp and transformers to foundation models, prompting, and ai agents Stay competitive with this 2025 guide. Let this blog guide you through the basics
What it does, types, advantages, disadvantages, and how to start Machine learning is at the core of generative ai, the process by which computers learn directly from big collections of data, instead of being programmed to do each thing in sequence. In this beginner’s guide, we’ll break down the basics and help you understand why it’s such a groundbreaking innovation Generative ai refers to systems that use machine learning models to generate new content based on existing data.
Learn what generative ai is, how it works, and how to use it today
This 2025 guide covers practical applications, prompting, and free tools for beginners. Become comfortable with the basics by exploring these video and interactive tutorial resources Longer videos include chapters for browsing specific topics Watch now how generative ai works.
