Essays about: "text entry"
Showing result 1 - 5 of 30 essays containing the words text entry.
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1. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE
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2. Application of transfer learning in text classification for small and medium sized web-based enterprises
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, the open sourcing of pretrained machine learning models through platforms like Hugging Face has reduced the barriers to entry in big data analysis. This thesis studies the use case of such models for web-based organisations, with a focus on text classification. READ MORE
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3. Bieberbach's Theorem, Normal Families and Approximation by Single-Slit Maps
University essay from Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten)Abstract : The main purpose of this thesis is to prove the Bieberbach inequality using Grönwall’s area theorem, and discuss some consequences of the Montel’s theorem and Carathéodroty convergence theorem regarding single-slit maps, which is essential to the proof of de Branges’ theorem.... READ MORE
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4. Otome Game localization : A case study of the character Toma from Amnesia
University essay from Högskolan Dalarna/Institutionen för språk, litteratur och lärandeAbstract : Using the Otome game Amnesia and its localized version Amnesia: Memories as a case study, the phenomenon of Otome games was explored from a translation- and Japanese studies' perspective. This paper investigated how translation choices shape character personality, and, as such, Western views. READ MORE
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5. Multi-task regression QSAR/QSPR prediction utilizing text-based Transformer Neural Network and single-task using feature-based models
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : With the recent advantages of machine learning in cheminformatics, the drug discovery process has been accelerated; providing a high impact in the field of medicine and public health. Molecular property and activity prediction are key elements in the early stages of drug discovery by helping prioritize the experiments and reduce the experimental work. READ MORE
