Ce que vous devez savoir avant
Vous commencez
Débute 4 June 2026 04:45
Se termine 4 June 2026
Generative Pre-trained Transformers (GPT)
Indian Institute of Technology Guwahati
17 Cours
L'IIT Guwahati est une institution publique d'ingénierie fondée en 1994 et située en Assam. Il s'agit de l'un des instituts d'ingénierie les plus prestigieux en Inde et a été classé 1er parmi tous les IIT en termes de placements et de recherche.
Non spécifié
Amélioration optionnelle disponible
Tous niveaux
Progressez à votre rythme
Free
Amélioration optionnelle disponible
Aperçu
Discover the future of human-computer interaction with our course on Generative Pre-trained Transformers (GPT), offered through Coursera by the prestigious Indian Institute of Technology Guwahati. Dive into the world of large language models like GPT-3.5, the engine behind ChatGPT, that are revolutionizing text processing and natural language understanding.
Uncover the foundational principles of natural language processing and language modeling that fuel these groundbreaking technologies.
Gain insight into the inner workings of language models and the advanced neural-based methods used to construct them. Learn about the transformative innovations that have propelled Transformer-based models to the forefront of language technology, tackling a wide array of tasks with unprecedented efficiency.
Address the complex challenges and ethical considerations surrounding the deployment of these models in real-world applications.
Engage in practical, hands-on labs designed to provide a solid understanding of Transformers' building blocks and their applications in text generation. Through step-by-step Python exercises, gain firsthand experience in working with smaller language models, evaluating their performance, and applying them to solve diverse problems.
Supplement your learning journey with regular practice quizzes and prepare for success with graded assessments.
This course falls under multiple categories including Python Courses, ChatGPT Courses, and GPT-3 Courses, making it a comprehensive resource for anyone looking to excel in these cutting-edge technologies.
Enseigné par
Mary Ellen Foster, Sean MacAvaney and Jake Lever