The World’s Largest Gathering of LLM & NLP Practitioners

Presented by

Putting Large Language Models, Natural Language Processing, and Generative AI to Work

Join the world’s large applied NLP & LLM community to learn about real-world case studies, best practices, open-source tools, and lessons learned. Now in its fourth year, the NLP Summit hosts two annual conferences in October and April. The conferences are free and all sessions are made freely available for on-demand viewing. Watch the recent conference or apply to speak at the next summit.

“Brilliant event with a fantastic variety of topics and great speakers!”

“It was awesome!”

“The event was wonderful thanks for everything.”

“Really enjoyed the look of the conference, nicer flow than other virtual technical events I’ve attended.”

Excellent and informative sessions

“The virtual summit was really helpful. It was great opportunity to learn and interact at the comfort of our home.”

“YOU WERE GREAT! THE BEST SUMMIT!!!” – Clinical Effectiveness Analyst at Pieces

“Absolutely outstanding talks!” – Senior Data Scientist at Fitch Ratings

“My sincere thank you for having me as a speaker at the NLP Summit! It has been a wonderful experience and I had many people from my team/company who learned a lot from the talks. Thank you for this platform.” – Head of Data Science at Brillio

“Amazing job on organising such a fantastic event, congrats! The talk was very enjoyable and it was great to see the audience engage with questions.” – Machine Learning Research Engineer at Hugging Face

“Thank you very much! I love this event. Congratulations!” – Computer Science Engineering Student

Past speakers

 Tao Qin

Tao Qin

Senior Principal Researcher at Microsoft Research

Lovedeep Saini

Lovedeep Saini

Data Science Manager at Arthur J Gallagher

Jinsung Yoon

Jinsung Yoon

Research Scientist at Google

Monica Agrawal

Monica Agrawal

Researcher at MIT

Harsha Gurulingappa

Harsha Gurulingappa

Head of Text Analytics at Merck KGaA

Pavithra Rajendran

Pavithra Rajendran

Senior Data Scientist at Great Ormond Street Hospital NHS Trust

Harvey Castro

Harvey Castro

Author at ChatGPT Healthcare

Durga Borkar

Durga Borkar

MD, MMCi, Medical Advisor at Verana Health

Elliot Bolton

Elliot Bolton

Research Engineer at Stanford CRFM

Elia Lima-Walton

Elia Lima-Walton

Director Data Science and Clinical Analytics - Health at Elsevier

David Talby

David Talby

CTO at John Snow Labs

Marcela	Granados

Marcela Granados

Global Insurance Leader at Databricks

Veysel Kocaman

Veysel Kocaman

Head of Data Science (Healthcare) at John Snow Labs

Betty van Aken

Betty van Aken

Research Associate Deep Learning and NLP at Berlin University of Applied Sciences

Sercan Arik

Sercan Arik

Research Scientist at Google

Saira Kazmi

Saira Kazmi

Executive Director Enterprise Data and ML Engineering at CVS Health

Vikas Kumar

Vikas Kumar

Sr Data Scientist at OMNY Health

Suneel Kumar BVS

Suneel Kumar BVS

Director of AI & Drug Design at Molecular Forecaster

Roy	Schwartz

Roy Schwartz

Sr. Lecturer at School of Computer Science & Engineering, University of Jerusalem

Brooke Gruman

Brooke Gruman

VP of Product at COTA Healthcare

David Berenstein

David Berenstein

Developer Advocate Engineer at Argilla

Jéssica Santos

Jéssica Santos

Head of Data at NeuralMed

Moshe Wasserblat

Moshe Wasserblat

NLP Research Lead at Intel

Prathamesh	Karmalkar

Prathamesh Karmalkar

Lead Data Scientist – NLP, Text Analytics & AI at Merck Group

Azadeh Mobasher

Azadeh Mobasher

Principal Data Scientist at Genentech

Participating Companies

About

The NLP Summit is the gathering place for those putting state-of-the-art natural language processing and Generative AI to good use. This year the virtual conference showcases LLM & NLP best practices, real-world case studies, challenges in applying novel research in practice – and the latest open source libraries, models & tools you can use today.

Recent Sessions

    • Lessons learned applying large language models in Healthcare
    • Unlocking Visual Creativity: Harnessing Large Natural Language Models to Convert Human Language into Graphical Representations
    • Leveraging Large Language Models for Customer Service and Support Transformation
    • Customizing GPT Models for Domain-Specific NLP Tasks: Techniques for Fine-tuning and Adaptation
    • Computational Linguistic Analysis of Engineered Chatbot Prompts
    • In the GPT Jungle: Lessons Learned from using LLMs in the Wild in Healthcare
    • From Text to Insights: Empowering NLP Models for Document QA with Generative AI
    • The State of the Art Transformer Language Models for Knowledge Graph Construction from Text
    • Taming the Large Language Models – Efficient Inference of Multi-billion Parameter Models
    • Unleashing the Power of Text Preprocessing in Natural Language Processing
    • Cooking with the Semantic Kernel: Recipes for Building Chatbots, Agents, and more with Large Language Models
    • What’s New in Stanford NLP and Stanza
    • Opportunities and Challenges in Building Intelligent Writing Assistants