Isabelle Mohr
Over the past three years, Isabelle has made Berlin her home and hub of professional growth, nurturing a deep-seated passion for the intersection of language and technology. With a master's degree in Computational Linguistics, she has embarked on a journey into the complex world of language processing, leading her to Jina AI. Since joining the company two years ago as a Machine Learning Engineer, she has played a pivotal role in the development and training of text embedding models, working closely with her team to push the boundaries of what's possible. Beyond her technical contributions, she is passionately committed to sharing her knowledge and enthusiasm for the field; giving talks on machine learning and NLP has become a significant and fulfilling part of her career, enabling her to inspire and connect with others who share her interests.
Jina AI
Session
Embeddings transform text into numerical vectors, capturing semantic relationships. This talk explores the data preparation, training processes, evaluation, and a demo of Jina Embeddings V2 in a hybrid search pipeline, showcasing its practical applications.