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TamasCsakvari/README.md

Tamas Csakvari

I am a Data Scientist specializing in building and fine-tuning Large Language Models (LLMs). My focus is on using advanced AI to solve complex and meaningful problems.

With a background combining quantitative analysis from engineering and economics, I bring a unique and rigorous approach to my work. I am fluent in English and German and am excited to connect with teams building impactful technology in Europe.

Featured Projects

1. LLM Solution for Legal Information Extraction

  • Description: An end-to-end Information Extraction system using models like GPT-4 and LLaMA, achieving 80% accuracy.
  • ➡️ View Repository

2. Performance Boosting of LLaMA via Fine-Tuning

  • Description: A research project where I boosted the LLaMA-3.1 model's performance by 15% through hands-on LoRA fine-tuning.
  • ➡️ View Repository

📫 Let's Connect

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  1. oie-llm-framework oie-llm-framework Public

    An LLM-powered framework to evaluate text content by extracting, matching, and comparing semantic triplets. Applied to German legal text analysis.

    Python

  2. finetune-llm-for-oie finetune-llm-for-oie Public

    🔬Boosted LLaMA-3's F1 score on the CaRB benchmark from 28.1% to 43.0% via LoRA fine-tuning. A complete toolkit for evaluating and fine-tuning LLMs for OIE.

    Python