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Generating Documentation to Source Code in Python
Novosád, Juraj ; Nosko, Svetozár (referee) ; Smrž, Pavel (advisor)
The aim of this work is to adapt selected language models on domain data and to develop a system that would allow their use on commonly available hardware. The models have been adapted to generate documentation for undocumented source code in the Python progra- mming language to follow the Google Style convention. A prerequisite of model adaptation was to obtain domain data and process it appropriately for the purpose of model fine-tuning. This work focuses on fine-tuning models with fewer than one billion parameters, for the sake of enabling inference even on commonly available hardware. Part of the work was to objectively evaluate the quality of the adapted models. For this reason, I developed a tool that evaluates the quality of the generated documentation on a selected corpus of models. The evaluation of the adapted models showed that they achieve comparable performance to multiply larger models for general tasks, such as gpt-3.5-turbo-0125. The result of this work is a server capable of horizontal scaling that integrates the capabilities of more than just the adapted models through an easy-to-use API.
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Auto-Generation of Examples for Assembly Languages Course
Tomeček, Aleš ; Žák, Jakub (referee) ; Samek, Jan (advisor)
{This study analyses approaches to generation of unique assignments for teaching purposes and their potential usefulness for computer labs of assemblers course. Based on that research we design and implement system for creating pseudo unique assignments. As part of the work is also included web application for use directly during course and other tools aiding further work with system itself.
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Generating text descriptions of journeys in a map
Svobodová, Zuzana ; Rosa, Rudolf (advisor) ; Mareček, David (referee)
This thesis aims to present the key aspects of a program developed for the purpose of improving orientation in maps by generating text description of routes. Even though such tools are already available and integrated within the most widely used internet map engines (e.g. maps.google.com and mapy.cz), they are not particularly user-friendly, as they rely on directions and distances. People are, on the other hand, more inclined to use landmarks such as significant buildings for orientation and synthetize simple information into more complex one. The program presented in this thesis addresses this issue and offers more intuitive route descriptions enabling its user to reach his/her destination potentially faster and more reliably.
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Auto-Generation of Examples for Assembly Languages Course
Tomeček, Aleš ; Žák, Jakub (referee) ; Samek, Jan (advisor)
{This study analyses approaches to generation of unique assignments for teaching purposes and their potential usefulness for computer labs of assemblers course. Based on that research we design and implement system for creating pseudo unique assignments. As part of the work is also included web application for use directly during course and other tools aiding further work with system itself.
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