Large Language Modeling (LMM) for unstructured dialogues

Language models such as ChatGPT have become increasingly popular in recent years due to their ability to generate human-like text and assist with a wide range of natural language processing tasks. These models have been used in various domains, including healthcare, finance, customer service, and education, to name a few. In healthcare, language models have been used to assist with medical diagnosis and treatment recommendations. In finance, they have been used to analyze financial data and assist with decision-making. In customer service, they have been used to automate responses and improve customer experiences. In education, they have been used to assist with language translation, summarization, and writing assistance. However, these language models also have limitations. One of the main limitations is their reliance on large amounts of data, which can lead to biased or inaccurate results. Additionally, language models may not have access to information that is not available in the public domain, and they may struggle to understand context and nuances in language. Furthermore, language models may generate inappropriate or offensive content if not properly monitored and trained. Despite these limitations, language models such as ChatGPT and ChatSonic continue to be developed and improved, and they have the potential to revolutionize many industries and domains. As with any technology, it is important to be aware of the limitations and use them responsibly to ensure that they are used ethically and safely.  

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

1. Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.

Meet the Supervisor(s)

Tatiana Kalganova -

DEGREES AWARDED

• PhD Napier University
• Research-engineer degree Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus
• MSc (distinction) Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus

ACADEMIC POSTS

• 2000-present Lecturer Brunel University London
• 2003-2011 Business Fellow London Technology Network, LTN Link between research activities at Brunel University London and industry
• 1997-2000 PhD student Napier University
• 1994-1997 Research Assistant Belarusian State University of Informatics and Radio-electronics