Thanks to this Artificial Intelligence Course with Chatbots and Copilot, you will explore artificial intelligence as an essential resource in a work context. From a historical introduction to an analysis of Copilot tools and advanced language models such as ChatGPT, Google’s Gemini and Microsoft’s Bing Chat, this course provides a comprehensive and up-to-date overview of the most relevant technologies in the field of applied AI. It focuses on advanced technical aspects, comparisons between different systems and practical applications in specific industries. Technical aspects such as tokenisation and the attention mechanism are also covered. Furthermore, you will be taught by a team of lecturers specialising in this subject.
Artificial Intelligence with Chatbots and Copilot
Introduction
Objectives
· Understand the historical development and current significance of artificial intelligence. · Identify the different types of Copilot tools and their benefits. · Analyse the main architectures of language models such as Transformer, GPT-3 and LaMDA. · Explore the capabilities, limitations and risks associated with ChatGPT, Gemini and Bing Chat. · Master advanced technical aspects such as tokenisation, attention mechanisms and training optimisation. · Compare and contrast Copilot with different chatbots, including ChatGPT, Gemini and Bing Chat. · Assess the integration of Copilot into specific industries and its impact on interaction with end users.
Table of Contents
TEACHING UNIT 1. THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TEACHING UNIT 2. WHAT IS A COPILOT TOOL? TEACHING UNIT 3. INTRODUCTION TO LANGUAGE MODELS (LLMs) TEACHING UNIT 4. CHATGPT: BASICS AND HOW IT WORKS TEACHING UNIT 5. GEMINI: GOOGLE’S PROPOSAL TEACHING UNIT 6. BING CHAT: MICROSOFT’S MODEL TEACHING UNIT 7. ADVANCED TECHNICAL ASPECTS TEACHING UNIT 8. COPILOT WITH DIFFERENT CHATBOTS
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