Language Modeling
Language modeling is a core concept in natural language processing (NLP) and artificial intelligence that involves predicting the probability of a sequence of words or tokens in a language. It enables machines to understand, generate, and manipulate human language by learning patterns from large text datasets. This foundational technique underpins applications like text generation, machine translation, and speech recognition.
Developers should learn language modeling to build advanced NLP applications such as chatbots, content summarization tools, and automated writing assistants. It is essential for working with modern AI models like GPT, BERT, and LLaMA, which rely on language models to process and generate human-like text. Mastery of this concept is crucial for roles in AI research, data science, and software development involving language-based AI systems.