Generative Models for Text and Language focus on creating AI systems that can produce human-like text and understand natural language patterns. These models learn from large text datasets to generate responses, summaries, translations, and creative content. This training explains key concepts such as language modeling, sequence generation, and probabilistic prediction of words and sentences. It also covers popular architectures like transformer-based models that power modern generative AI systems. You will learn how these models process context, maintain coherence, and generate meaningful language outputs. The course also highlights best practices for training, fine-tuning, and evaluating generative language models for real-world applications.
Showing the single result
