Organized by
Alongside
Gen AI Tools
Infra & Open Source
Demo Days
Free for Everyone
virtually May 8-9
At this virtual event you’ll meet innovators at the forefront of areas
01
LLMs
02
Quality tuning
03
Orchestration
04
Vector DBs
05
Embeddings
06
Data Tools
07
Trust, Risk & Security Management
Who we are
A diverse community of data and AI professionals explore best practices for ML/Gen AI deployment in production.
Our committee
See a snapshot of the technical AI practitioners and Committee that helps drive our initiatives.
Presenting
How Does it Work?
The GenAI tech landscape can be overwhelming. Join us as we dive into the emergent production stack with over 30 short demos and presentations. Learn from the experience of others and share your experience, in an open virtual setting with Q&A. Our goal is for you to get a deeper understanding of what is out there, and what may be of interest to you based on the needs of your project initiatives.
On hand will be people working through various projects, including founders and solution architects, all with deep technical knowledge, and a willingness to help answer questions as they showcase some of the latest approaches to deploying and maintaining GenAI in production environments.
We’ll have various slotted times for presentations between the days of May 7-8-9. The schedule and links will be provided, and the session will take place on Hopin virtual conference platform.
- You can drop in the company’s or group presentation anytime during the allocated time.
- Each session will help you better understand the tooling and approaches via demos/Q&A with specialists. You can ask questions/share with others with similar interests.
- Move around the space freely, Chat 1-1 via the direct messaging feature or simply watch the host session present. The platform is easy to navigate.
- We will also give the presenters the opportunity to reach out for 1-1 meetings and vice versa.
The MLOps World Community, & GenAI World Summit Organizers and group (see Who We Are Section)
This event is free to attend, see link here.
No, the joint GenAI World / MLOps World Conference and Expo proceedings are taking place Nov 7-8 in Austin Texas. You can find more info here. This is a free virtual event we are offering.
No, this is actually for all those working with and interested in Machine Learning and GenAI. We highlight top thought leaders globally, and our group consists on people from around the world.
All sessions will be recorded during the event (provided speaker permissions) and will be made available to attendees approximately 2-4 weeks after the event for those who signed up.
Please email at [email protected]
Yes, you can inquire at [email protected]
- Privacy Policy
- Code of Conduct
- Apply to Speak at 5th Annual MLOps World Conference
Tickets
Gen AI Tools
Infra & Open Source
Demo Days
Subject to minor changes.
May 8th
Registration
Mitigating RAG Hallucinations with Aporia Guardrails
Alon Gubkin, CTO
Customizable RAG workflows with your own Data
The Secret Sauce for Deploying LLM Applications into Production
The Who, What, and Why of Data Lake Table Formats
Introducing Arize-Phoenix and OpenInference
Integrating AI Directly with Your Existing Databases. Build, Deploy and Manage AI Apps Easily, without Moving Your Data Into Complex Pipelines and Specialized Vector Databases.
Duncan Blythe, Co-Founder & CTO
Keynote Sessions
Making Enterprise GenAI Safe and Effective - Tools and Approaches
Rahm Hafiz, CTO
Running multiple models on the same GPU, on spot instances
LLMs From Dream to Deployed
Towards Robust GenAI: Techniques for Evaluating Enterprise LLM Applications
The Journey of Building a Leading Open Source LLM Security Toolkit
Private, Local AI
Beyond Benchmarks: Measuring Success for Your AI Initiatives
Evaluation Engineering: Iterative Strategies to Testing Prompts
Apache Airflow: Where Data Engineers and Ml Engineers Meet
May 9th
Registration
The BEST Component for Your RAG System
From Idea to Production: AI Infra for Scaling LLM Apps
From Idea to Production: AI Infra for Scaling LLM Apps
Guy Eshet, Product Manager
Function Calling for LLMs: RAG Without a Vector Database
Jim Dowling, CEO
Lessons Learned from Scaling Large Language Models in Production
Finding Training Inefficiencies with CentML DeepView
Yubo Gao, Research Software Development Engineer
Keynote Sessions
Why Ai Apps Don't Work in Prod: AI Reliability Survey
Shreya Rajpal, CEO
Evaluating LLMs and RAG Pipelines at Scale
Eric O. Korman, Co-Founder / Chief Science Officer
Better Chatbots with Advanced RAG Techniques
Running Prompts at CI Does Not Make Your Gen Ai App Enterprise Ready
Data Versioning in Generative AI: A Pathway to Cost-effective ML
Building ML and GenAI Systems with Metaflow
