Sökning: "Automatic tuning"
Visar resultat 1 - 5 av 90 uppsatser innehållade orden Automatic tuning.
1. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. LÄS MER
2. Evaluating and Fine-Tuning a Few-Shot Model for Transcription of Historical Ciphers
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Thousands of historical ciphers, encrypted manuscripts, are stored in archives across Europe. Historical cryptology is the research field concerned with studying these manuscripts - combining the interest of humanistic fields with methods of cryptography and computational linguistics. LÄS MER
3. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. LÄS MER
4. Context-aware Swedish Lexical Simplification : Using pre-trained language models to propose contextually fitting synonyms
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : This thesis presents the development and evaluation of context-aware Lexical Simplification (LS) systems for the Swedish language. In total three versions of LS models, LäsBERT, LäsBERT-baseline, and LäsGPT, were created and evaluated on a newly constructed Swedish LS evaluation dataset. LÄS MER
5. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS
Master-uppsats, KTH/Tillämpad fysikSammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER