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Natural Language Technologies

Semester 1 2023-2024

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In the media lately…..

In the media lately…..

The Generative AI Landscape

Creative? Conversational Text…

What is it?

We need to understand it to understand its strengths and limitations

The Training Process

Who is the module for?

Students will get to understand the wealth of different challenges and solutions
Students who wish to dig deeper can either do so with existing DA modules or through resources pointed to

This is NOT a Machine Learning course, though we will at times make use of methods powered by Machine Learning

Indicative Content

Week 1: The challenge of natural language and role of language technology architectures
Week 2: Speech Recognition & Analysis Tech
Week 3: Speech Synthesis and Conversational Characters
Week 4: Text Representations
Week 5: Text Analysis Methods
Week 6: Intro to Dialogue Management
Week 7: Large Language Models
Week 8: Conversational LLMs (ChatGPT)
Week 9: Prompt Engineering
Week 10: Information Retrieval
Week 11: Summarization and Machine Translation
Week 12: Perspectives on Generative AI and Industry

Assessment

The CA will be based around a project which has a number of individual parts. Either individual submissions or pair based submissions will be allowed.

A written examination designed to encourage students to make sure they are familiar and comfortable with the concepts covered in the course will also be included.