Putting Large Language Models, Natural Language Processing, and Generative AI to Work
Join the world’s largest applied LLM & NLP community at the NLP Summit 2024! Full day of immersive, industry-focused content including 12 technical sessions, focusing on Generative AI applications in healthcare and life sciences.
Past speakers

Tao Qin
Senior Principal Researcher at Microsoft Research

Lovedeep Saini
Data Science Manager at Arthur J Gallagher

Jinsung Yoon
Research Scientist at Google

Monica Agrawal
Researcher at MIT

Harsha Gurulingappa
Head of Text Analytics at Merck KGaA

Pavithra Rajendran
Senior Data Scientist at Great Ormond Street Hospital NHS Trust

Harvey Castro
Author at ChatGPT Healthcare

Durga Borkar
MD, MMCi, Medical Advisor at Verana Health

Elliot Bolton
Research Engineer at Stanford CRFM

Elia Lima-Walton
Director Data Science and Clinical Analytics - Health at Elsevier

David Talby
CTO at John Snow Labs

Marcela Granados
Global Insurance Leader at Databricks

Veysel Kocaman
Head of Data Science (Healthcare) at John Snow Labs

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

Sercan Arik
Research Scientist at Google

Saira Kazmi
Executive Director Enterprise Data and ML Engineering at CVS Health

Vikas Kumar
Sr Data Scientist at OMNY Health

Suneel Kumar BVS
Director of AI & Drug Design at Molecular Forecaster

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

Brooke Gruman
VP of Product at COTA Healthcare

David Berenstein
Developer Advocate Engineer at Argilla

Jéssica Santos
Head of Data at NeuralMed

Moshe Wasserblat
NLP Research Lead at Intel

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

Azadeh Mobasher
Principal Data Scientist at Genentech

About
The NLP Summit is the gathering place for those putting state-of-the-art natural language processing & large language models to good use. This is the first edition of the in person conference which showcases Generative AI best practices, real-world case studies, challenges in applying deep learning & transfer learning in practice – and the latest open source libraries, models & transformers 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
Register for
NLP Summit Seattle

When & Where
January 23, 2024
Block 41, 115 Bell Street, Seattle, WA, 98121