My Bachelor's Thesis on theme
Abstract
This thesis examines the evolution of text representation methods, starting from traditional techniques like FastText and advancing to sophisticated transformer-based models such as Bidirectional Encoder Representations from Transformers (BERT). The study evaluates these representations through analogy tests and confusion matrix analysis, utilizing the UPV corpus set for comprehensive assessment.
In the latter part of the research, the focus shifts to optimizing text representations for Retrieval-Augmented Generation (RAG) algorithms. The investigation aims to identify the most effective embeddings and determine the optimal text chunk size for Question Answering (QA) tasks, particularly within the realm of generating natural language answers from technical manuals. A thorough evaluation is conducted to recommend an optimal representation model that strikes a balance between factual accuracy and computational efficiency.
You can also check this thesis on ČVUT DSpace.
sudo apt install texlive texlive-latex-extra texlive-lang-czechslovak texlive-science texlive-pstricks latexmk texmaker texlive-font-utils texlive-fonts-extra texlive-bibtex-extra biber okular pdf-presenter-console dvipng sketchBuild the pdf by running
makein the thesis's folder.
The build is facilitated via latexmk.
The output will appear in the build subfolder.
The template supports the output of two different versions of the thesis.
The print version has asymmetric margins to compensate for the spine of the thesis. Moreover, the print version adds white pages whenever necessary (new chapters and standalone pages, e.g., before the copyright notice).
The screen version has symmetric margins and no filler white pages.
The print version is enabled by uncommenting the first line in the main.tex document:
\newcommand*{\printversion}{}%