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Similarity analysis of global chemical product labels – An applied nlp approach to preserve the natural environment and human health

In this session Thomas demonstrates how one can use various popular data science and nlp techniques to analyze the similarity of of global chemical product labels for plant protection products. He also shows how these methods can help producers and consumers to protect the environment and health and sensitize data enthusiasts to find the easiest way to solve a problem with data science as good as possible to deliver a quick and positive impact tested on a business use case.

Taming the Large language models - Efficient inference of Multi-billion parameter models

AI and have shown promising results across different sub-fields of NLP. Because of their extensive pre-training and at least over a billion...