🔍 Optimize data mixtures for fine-tuning multimodal large language models, enhancing performance in mobile phone agents and multitask learning.

Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt

Microbial Named Entity Recognition and Normalisation for AI-assisted Literature Review and Meta-Analysis

it is package that is changing a lot to do natural language process and guessing intent.

Нейросетевые модели для русского языка: NER, морфология и синтаксис с автоматической загрузкой моделей.

Connected Data London 2025 Masterclass: Combining Data from Structured and Unstructured Sources to create High-Quality Knowledge Graphs

NER и семантический анализ для русского языка с Navec embeddings и интеграцией SlovNet.

Named-entity recognition for PHP

A smart prescription analysis tool that uses Google Vision and HuggingFace NER to extract medical data. It verifies prescriptions against a custom dataset for dosage and age safety, checks for drug interactions with IBM Watson, and generates patient-friendly summaries. Built with a Streamlit frontend and FastAPI backend.

NAER

Klasszikus téglatörő játék politikai szatírával. Egy online oldal ihlette, amely a mai magyar politikai és társadalmi valóságot tükrözi.

Using a local LLM, convert text to a knowledge graph

Named-entity recognition for Ruby

Comprehensive sentiment analysis and Named Entity Recognition on 2,400 Arabic COVID-19 tweets. Compares 9 models including traditional ML (Logistic Regression, Random Forest, Neural Networks) and state-of-the-art LLMs (BERT, AraBERT, DistilBERT, LLAMA2, GPT-3.5, GPT-4). Achieves 92.85% accuracy with GPT-4. Includes preprocessing pipeline for Arabic

Final project TPSC ~ Fine Tuning IndoBERT NER modelling

This project studies causal relationship between events in the Adverse Outcome Pathway.

Build LLM-enabled FastAPI applications without build configuration.

German spaCy models trained on German UD-HDT and on a collection of gold and silver standard NER corpora