Applied Generative AI and Language Processing
Join the world’s largest Applied NLP, LLM, and Generative AI community at this fourth edition of the NLP Summit! Three days of immersive content including over 50 technical sessions, with focus days on open source, healthcare and applications. Attend live Q&A sessions with the speakers, connect with others through networking features, and access all content on-demand after the event.
The second week will feature beginner to advanced live training workshops with certifications. Learn, share, and apply best practices for putting AI to good use!
Past speakers
Bob Van Luijt
CEO & Co-Founder at Weaviate
Waleed Kadous
Chief Scientist at Anyscale
Supriya Raman
VP Data Science at JPMorgan
Sudhir Hasbe
Chief Product Officer at Neo4j
Dia Trambitas
Head of Product at John Snow Labs
David Talby
CTO at John Snow Labs
Christine Swisher
Chief Scientific Officer at Project Ronin
Veysel Kocaman
Head of Data Science (Healthcare) at John Snow Labs
Andrew Burt
Co-founder & Managing Partner at Luminos.Law
Dave DeCaprio
CTO & Co-founder at ClosedLoop
Shay Sayed
Principle Solutions Engineer at ClosedLoop
Dives Lucato
Principal Architect at Microsoft
Swagata Ashwani
Data Science Lead at Boomi
Karim Galil
Co-Founder/CEO at Mendel.ai
Divya Mereddy
Data Scientist at Ascena Retail
Carlos Rodríguez Abellán
Lead NLP Engineer at Fujitsu
Jennifer D'Souza
Postdoctoral researcher at TIB – Leibniz Information Centre for Science & Technology
John Bauer
Research Engineer at Stanford
Itay Zitvar
Software Engineering Team Lead (NLP) at Hyro
Pavithra Rajendran
Senior Data Scientist at Great Ormond Street Hospital NHS Trust
Michelle Banawan
Asst Professor and Academic Program Director at Asian Institute of Management
Vipul Raheja
Applied Research Scientist at Grammarly
Stephanie Grim
Health Care Researcher at University of Colorado
Thomas Kranzkowski
Senior Data Science Consultant at Woodmark Consulting AG
Alex Chao
Senior Product Manager at Microsoft
Nafiseh Mollaei
Postdoc at Loyola University Chicago
Harvey Castro
Author at ChatGPT Healthcare
Yizhen Zhong
ML Scientist at Freenome
Zain Hasan
Senior ML Developer Advocate at Weaviate
Harsha Gurulingappa
Head of Text Analytics at Merck KGaA, Darmstadt, Germany
Yash Sheth
Co-Founder at Galileo
Dishant Banga
Sr Data Analyst at Bridgetree
Durga Borkar
MD, MMCi, Medical Advisor at Verana Health
Logesh Kumar Umapathi
Lead Machine Learning Research Engineer at Saama Technologies
Shir Chorev
Co-founder & CTO at Deepchecks
Ke Ji
Senior Lead Data Scientist at American Family Insurance
Yuval Belfer
Developer Advocate at AI21 Labs
Dives Lucato
Principal Architect at Microsoft
Lovedeep Saini
Data Science Manager at Arthur J Gallagher
Christian Kasim Loan
Lead Data Scientist at John Snow Labs
Luis Gehrmann
Data and Analytics Architect at Merck Group
Alberto Oteo Garcia
Data Scientist at Merck Group
Neelesh Shukla
Senior Manager - Principal AI Scientist at State Street Corporation
Zongrui Pei
Senior staff at NYU
Matthew Robinson
Engineering Lead at Unstructured Technologies
Dr. Gary Curhan
CMO at OM1
Ryan Boch
Senior Software Engineer at OM1
Alin Blidisel
Technical Team lead at Wisecube
Patrick Salomé
Co-Founder and Chief Product Officer at BluePallet
Sanchit Juneja
Director-Big Data & ML at Booking.com
Franz Keller
Platform Lead at Galileo
Anton Troynikov
Founder at Chroma
Fatema Nafa
Professor at Salem State University
Miguel Ángel Rodríguez López
Data & IA Manager at Digital Hub at Acciona
About
The NLP Summit is the gathering place for those putting Generative AI, Natural Language Processing, and Large Language Models to good use. Now in its fourth year, this conference showcases best practices, real-world case studies and challenges in applying these technologies in practice – as well as the latest open-source libraries, tools, and models you can put to use today. The NLP Summit brings together the growing community interested in building Generative AI applications in healthcare, life science, finance, eCommerce, media, recruiting, and more.
Topics Covered
- Domain-Specific Language Models
- “Small” vs. “Large” Language Models
- Testing & Correcting for Responsible AI
- Multilingual Language Models
- Multi-Modal Language Models
- Fine-tuning, merging, and quantization
- Real-World Applications & Outcomes
- Combining knowledge graphs & LLMs
- Multi-Agent, Multi-LLM Systems
- Finding & Eliminating Hallucinations
- No-Code & Human-in-the-loop Tools
- MLOps & LLMOps
- Benchmarking Language Models
- Data preparation for RAG
- Generative AI in regulated industries
- Datasets for model fine-tuning