This course starts with an overview of chatbot development and the architecture of ChatGPT. You will learn how to write prompts that improve the accuracy and usefulness of AI responses. Through practical exercises, you will use AI for tasks such as data analysis, code generation, translation, and content creation. The course also covers advanced topics like API integration, automated prompt testing, and building custom GPTs, with a focus on automating workflows and customizing AI tools. You will learn how generative AI can interact with files, create images, and use third-party APIs to perform actions. This course is suitable for developers, content creators, and anyone interested in AI, and will help you build practical skills for working with generative AI.
This module provides a comprehensive introduction to mastering prompt engineering with ChatGPT. It covers the fundamentals of communicating effectively with generative AI, explores the evolution and inner workings of chatbots, and guides learners through crafting and testing prompts for a variety o…
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Pearson is in Tier 4: commercial training companies and platform-made courses of our institution ranking (60/100).
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
This course explores the world of Transformers and Large Language Models (LLMs). You will learn the evolution of NLP methods, the core components of the Transformer architecture, along with how they relate to LLMs as well as techniques to enhance model performance for real-world applications. Throu…
Dive into the intriguing world of AI Transformers with this curated YouTube playlist. Featuring expert insights, educational content from leading organizations, and engaging discussions, this playlist keeps you informed about the latest breakthroughs in Transformer technology.
Stanford CS25: Transformers United Since their introduction in 2017, transformers have revolutionized Natural Language Processing (NLP). Now, transformers are finding applications all over Deep Learning, be it computer vision (CV), reinforcement learning (RL), Generative Adversarial Networks (GANs)…
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai
