Enroll Course: https://www.coursera.org/learn/generative-ai-llm-architecture-data-preparation
The Coursera course titled ‘Generative AI and LLMs: Architecture and Data Preparation’ offered by IBM is a comprehensive introduction to the world of generative artificial intelligence and large language models. This course is an excellent resource for data scientists, machine learning engineers, deep learning practitioners, and AI enthusiasts looking to deepen their understanding of recent advancements in AI. It seamlessly combines theoretical knowledge with practical exercises, making complex concepts accessible and engaging.
The course is divided into two main modules. The first, ‘Generative AI Architecture,’ explores the significance of generative models, their applications across various industries, and the different architectures used in this field. Notably, students get hands-on experience by building a simple chatbot using the Hugging Face transformers library, which bridges the gap between theory and real-world application.
The second module, ‘Data Preparation for LLMs,’ dives into the essential preprocessing steps such as tokenization, data loading, and batching. This section is particularly valuable for those interested in understanding how to prepare data efficiently for training large models using tools like nltk, spaCy, and PyTorch’s DataLoader.
Overall, the course is well-structured, practical, and highly relevant for professionals aiming to stay at the forefront of AI innovation. Whether you are looking to enhance your skills for a new project or to gain foundational knowledge in generative AI, this course is highly recommended. It empowers learners not just to understand the concepts but to implement and experiment with generative AI models effectively.
Enroll Course: https://www.coursera.org/learn/generative-ai-llm-architecture-data-preparation