Reproducibility & Data Version Control
for LangChain & LLM/OpenAI Models

FREE Virtual Workshop
Nov. 29th,1PM EST

Proudly Sponsored By

Presenter: Amit Kesarwani
Director of Solution Engineering
lakeFS by Treeverse

FAQs

Get all the info you need on topics such as health and safety, registration, accessibility, and much more.
General

Learn more about TMLS 2024

  • July 10, 2024 – Virtual Workshops
  • July 11, 2024 – In-person Workshops (various locations, limited capacity)
  • July 12 & 15, 2024 – In person Conferences sessions at RBC WaterPark Place

A portion is virtual and a portion in-person (There is NO hybrid option for the in-person dates)

  • July 10, 2024 – Virtual Workshops
  • July 11, 2024 – In-person Workshops (various locations, limited capacity)
  • July 12 & 15, 2024 – In person Conferences sessions at RBC WaterPark Place
The talks are held in-person and are not streamed – We will however have bonus virtual workshops for ticket holders, July 10, 2024.

Most sessions will be recorded during the event (provided speaker permits) and will be made available to attendees approximately 2-3 weeks after the event and be available for 12 months after release.

Note: In-person workshops will NOT be recorded

There is not. All ticket purchasers are welcome.
Tickets are refundable 30 days prior to the event.

Developments are happening fast – it’s important to stay on top.

For businesses leaders, you will have direct contact with the people that matter most; consultants and experts, potential new hires, and potential new clients.

For data practitioners, you’ll have an opportunity to fast-track your learning process with access to relevant use-cases, and top quality speakers and instructors that you’ll make lasting connections with while building your network.
The event is casual and tickets are priced to remove all barriers to entry. Space, however, is limited.

Please see our Who Attends Section for a full breakdown. Participants range from data scientists, to engineers, to business executives, and students. We’ll have multiple tracks and in app brain-dates to accommodate various vantage points and maturity levels.

Yes you can submit an abstract here.

*Content is non-commercial and speaking spots cannot be purchased.

No, we do our best to ensure attendees are not inundated with messages, We allow attendees to stay in contact through our slack channel and follow-up monthly socials.

Yes, there will be spaces for company displays. You can inquire at faraz@torontomachinelearning.com.

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Who Attends

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Data Practitioners
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Researchers/Academics
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2023 Event Demographics

Highly Qualified Practitioners*
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Currently Working in Industry*
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Attendees Looking for Solutions
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Currently Hiring
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Attendees Actively Job-Searching
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2023 Technical Background

Expert
19.2%
Advanced
49.8%
Intermediate
24.1%
Beginner
6.9%

2023 Attendees & Thought Leadership

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Speakers
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Company Sponsors
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Business Leaders: C-Level Executives, Project Managers, and Product Owners will get to explore best practices, methodologies, principles, and practices for achieving ROI.

Engineers, Researchers, Data Practitioners: Will get a better understanding of the challenges, solutions, and ideas being offered via breakouts & workshops on Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML, and more.

Job Seekers: Will have the opportunity to network virtually and meet over 30+ Top Al Companies.

Ignite what is an Ignite Talk?

Ignite is an innovative and fast-paced style used to deliver a concise presentation.

During an Ignite Talk, presenters discuss their research using 20 image-centric slides which automatically advance every 15 seconds.

The result is a fun and engaging five-minute presentation.

You can see all our speakers and full agenda here

Get our official conference app
For Blackberry or Windows Phone, Click here
For feature details, visit Whova