17 citations · 69 across the 23 of their papers we have counts for
10 papers · 1 filter
QLoRA Fine-Tuning of Ministral LLM for Sequence-to-Function Protein Annotation
Demian Pavlyshenko, Bohdan Pavlyshenko
Functional annotation of newly sequenced proteins remains a bottleneck in molecular biology: the number of sequences in public repositories grows far faster than the capacity for m…
Multilevel Analysis of Cryptocurrency News using RAG Approach with Fine-Tuned Mistral Large Language Model
Bohdan M. Pavlyshenko
In the paper, we consider multilevel multitask analysis of cryptocurrency news using a fine-tuned Mistral 7B large language model with retrieval-augmented generation (RAG). On the…
Using GPT Models for Qualitative and Quantitative News Analytics in the 2024 US Presidental Election Process
Bohdan M. Pavlyshenko
The paper considers an approach of using Google Search API and GPT-4o model for qualitative and quantitative analyses of news through retrieval-augmented generation (RAG). This app…
Financial News Analytics Using Fine-Tuned Llama 2 GPT Model
Bohdan M. Pavlyshenko
The paper considers the possibility to fine-tune Llama 2 GPT large language model (LLM) for the multitask analysis of financial news. For fine-tuning, the PEFT/LoRA based approach…
Analysis of Disinformation and Fake News Detection Using Fine-Tuned Large Language Model
Bohdan M. Pavlyshenko
The paper considers the possibility of fine-tuning Llama 2 large language model (LLM) for the disinformation analysis and fake news detection. For fine-tuning, the PEFT/LoRA based…
Methods of Informational Trends Analytics and Fake News Detection on Twitter
Bohdan M. Pavlyshenko
In the paper, different approaches for the analysis of news trends on Twitter has been considered. For the analysis and case study, informational trends on Twitter caused by Russia…