Blog

Natural Language Processing for Materials Science

It has long been a norm that researchers extract knowledge from literature to design materials. However, the avalanche of publications makes the norm challenging to follow. Natural language processing (NLP)...

Unlocking Visual Creativity: Harnessing Large Natural Language Models to Convert Human Language into Graphical Representations

The ability to convert human language, such as film scripts, novels, or podcast transcripts, into...

Leveraging Large Language Models for Customer Service and Support Transformation

Driven by advancements in large language models (LLMs) such as OpenAI's ChatGPT and Google's Bard, the customer service and support landscape is undergoing a significant transformation. This talk proposal focuses...

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...

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 learnable parameters, the models are sample efficient. Shows...