Language AI courses and concepts

Language AI is the branch of artificial intelligence that works with human language: understanding and generating text, translating between languages, and converting speech to text and text to speech. Most modern language models split text into small pieces called tokens, represent each piece as numbers, and learn from large amounts of text how those pieces relate to each other. This lets them produce fluent text, but fluent text is not always accurate, so their output still has to be checked. Learning the subject means understanding that process first, then the specific tasks built on it, such as translation, sentiment analysis and speech recognition.

Language AI courses

Language AI terms explained

Most of these terms fall into three groups: tasks (machine translation, sentiment analysis, named entity recognition, speech recognition, text-to-speech), the building blocks language models work with (tokens, tokenization, word embeddings), and the systems people talk to (chatbots, conversational AI, voice AI). Token and tokenization explain how much text a model can take in at once, and why usage is counted in tokens rather than words.

Learn AI covers how AI systems work, including the machine learning that language models are built on; Use AI covers using AI tools and services, for language tasks and others; Develop AI covers building with AI in code, including applications on top of language models.