Summarizing recent developments and ethical concerns in the field of large language models.

The blog of Hugging Face, a leading open-source platform for machine learning (ML) and natural language processing (NLP) that provides a suite of tools, libraries, and models. It is best known for its Transformers library, which simplifies the implementation of state-of-the-art NLP models like GPT, BERT, and T5. Hugging Face offers easy access to pre-trained models for tasks such as text classification, text generation, translation, and more.

A 12-week, 24-lesson curriculum for Artificial Intelligence from Microsoft. It includes practical lessons, quizzes, and labs. The curriculum is beginner-friendly and covers tools like TensorFlow and PyTorch, as well as ethics in AI.

This AWS certification cover Fundamentals of AI and ML (20%), Fundamentals of Generative AI (24%), Applications of Foundation Models (28%), Guidelines for Responsible AI (14%), and Security, Compliance, and Governance for AI Solutions (14%).

This book explores the full breadth and depth of the field of artificial intelligence (AI). The 4th Edition brings readers up-to-date on the latest technologies, presents concepts in a more unified manner, and offers new or expanded coverage of machine learning, deep learning, transfer learning, multi agent systems, robotics, natural language processing, causality, probabilistic programming, privacy, fairness, and safe AI.