This Course in Conversational Artificial Intelligence provides specialisation in conversational artificial intelligence, covering everything from the fundamentals of AI to the most advanced language models, such as GPT and Gemini. It explores Natural Language Processing (NLP) techniques, the use of Python tools such as NLTK, and the creation of chatbots using popular frameworks. It also discusses key aspects of syntactic and semantic computing for NLP and the practical applications of information extraction. Finally, commercial chatbots such as ChatGPT and Bing Chat are reviewed, along with proposals from leading companies such as OpenAI, Google and Microsoft, comparing their capabilities and future prospects.
Cross-cutting
AI Academy
45 hours
Conversational Artificial Intelligence
AI Academy
45 hours
Introduction
Objectives
· Understand the evolution of artificial intelligence and its applications. · Distinguish between the main language models, such as GPT and Gemini. · Apply Natural Language Processing (NLP) techniques in Python. · Develop chatbots and VoiceBots using advanced tools. · Analyse the capabilities and limitations of ChatGPT and Bing Chat. · Assess the integration of AI models into commercial platforms. · Explore the future of NLP and its impact on communication.
Table of Contents
TEACHING UNIT 1. THE POTENTIAL OF ARTIFICIAL INTELLIGENCE TEACHING UNIT 2. INTRODUCTION TO LANGUAGE MODELS TEACHING UNIT 3. INTRODUCTION TO NLP TEACHING UNIT 4. PLN IN PYTHON TEACHING UNIT 5. SYNTAX COMPUTATION FOR PLN TEACHING UNIT 6. SEMANTICS COMPUTATION FOR PLN TEACHING UNIT 7. INFORMATION RETRIEVAL AND EXTRACTION TEACHING UNIT 8. WHAT IS A CHATBOT? TEACHING UNIT 9. AREAS OF APPLICATION FOR CHATBOTS TEACHING UNIT 10. CHATGPT: FUNDAMENTALS AND HOW IT WORKS TEACHING UNIT 11. GEMINI: GOOGLE’S PROPOSAL TEACHING UNIT 12. BING CHAT: MICROSOFT’S MODEL
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