Blog

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...

From Text to Insights: Empowering NLP Models for Document QA with Generative AI

Recent advances in generative Artificial Intelligence (AI) have broken barriers in various fields such as computer vision and natural language processing (NLP). One well-known application of generative AI is in...

Customizing GPT Models for Domain-Specific NLP Tasks: Techniques for Fine-tuning and Adaptation

In the rapidly evolving field of Natural Language Processing (NLP), pre-trained models such as GPT have demonstrated remarkable capabilities across a variety of tasks. However, out-of-the-box usage of these models...

What’s New in Stanford NLP and Stanza

In this talk, we present recent updates to our natural language analysis toolkits, CoreNLP and Stanza, and talk about recent work happening at Stanford NLP in building and using large...