17 citations · 69 across the 23 of their papers we have counts for
24 papers
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…
AI Approaches to Qualitative and Quantitative News Analytics on NATO Unity
Bohdan M. Pavlyshenko
The paper considers the use of GPT models with retrieval-augmented generation (RAG) for qualitative and quantitative analytics on NATO sentiments, NATO unity and NATO Article 5 tru…
Predictive Analytics of Air Alerts in the Russian-Ukrainian War
Demian Pavlyshenko, Bohdan Pavlyshenko
The paper considers exploratory data analysis and approaches in predictive analytics for air alerts during the Russian-Ukrainian war which broke out on Feb 24, 2022. The results il…
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…