Magdalena Konkiewicz

Data Evangelist at Toloka




Magdalena Konkiewicz is a Data Evangelist at Toloka, a global company supporting fast and scalable AI development. She holds a Master's degree in Artificial Intelligence from Edinburgh University and has worked as an NLP Engineer, Developer, and Data Scientist for businesses in Europe and America. She has also been involved in teaching and mentoring Data Scientists and regularly contributes to Data Science and Machine Learning publications.

  • How Multimodality Makes LLM Alignment More Challenging
    The addition of multimodal abilities to ChatGPT via GPT-4 allows users to use images and text together, expanding its functions but posing new challenges. Aligning this mix of data demands careful curation and presents ethical considerations, requiring developers to obtain high-quality training data and navigate complex issues for ethical alignment.


  • A Better Way To Evaluate LLMs
    This article introduces a new approach to evaluation LLMs, which leverages human insight to compare LLM responses to real-world user prompts categorized by NLP tasks, offering a promising solution for advancing LLM evaluation standards.