PyData Montreal Meetup #25 (in-person | en personne)

📣 Welcome to our last Meetup of 2023 at the Computer Research Institute of Montreal! 🎉 🏢
Explore the future of AI collaboration and large language models through insightful talks by our expert speakers, Clodéric Mars and Alex Kim.

IMPORTANT :
* The access point is on 405 Avenue Ogilvy, bureau #101, Montréal (Parc Metro - Free parking)
*Get your proof of attendance with you (available on the meetup event page or received per email), for us to check your status (waiting list or not) at the venue

📊🤖 Don't miss this opportunity to explore cutting-edge applications and ignite your curiosity. Save the date and secure your spot now! 👉🗓️ See you there! 👋😄

Agenda

5:30 pm - Doors open

6:00 pm - Introduction

6:10 pm - “Human/AI superteams: building collaborative systems with human-in-the-loop learning” by Clodéric Mars

6:50 pm - Break, pizza and networking

7:10 pm - "A Gentle Introduction to Large Language Models" by Alex Kim

7:50 pm - Final notes, break and networking

Talks

Human/AI superteams: building collaborative systems with human-in-the-loop learning

Abstract: The active involvement of humans in AI training and operation, known as « Human-in-the-loop learning" (HILL), is where the next frontier of effective and reliable decision-making systems lies. HILL techniques enable a holistic view of the training and deployment of hybrid human-IA teams in which the AI component learns from the expertise of its human teammates and continually adapts to their expectations, and where, similarly, humans can better understand the strengths and weaknesses of the AI. In this presentation, we will give an overview of some HILL techniques and their characteristics, with a closer look at reinforcement learning with human feedback (RLHF), which has recently given rise to a new generation of conversational assistants better aligned with the expectations of human users, with ChatGPT for example being the first incarnation. We will then illustrate the impact of these techniques through industrial use cases developed by AI Redefined, using Cogment, our artificial learning development solution (MLOps) for HILL methods. Finally, we'll draw up a roadmap of the challenges to be addressed if these methods are to have a wider impact.

About Clodéric: Clodéric has been building AIs since 2006 with one overarching goal: fostering the collaboration between Humans and AIs. At INRIA then at Golaem and MASA Group he has worked on explicit AI techniques applied to video games, simulation and special effects. In 2015, he co-founded craft ai to focus on explainable machine learning. Since 2020, he has been working at AI Redefined on Cogment to make it accessible to create collaborative systems including humans and AIs. Over the years, he contributed to the development of AIs collaborating with artists to populate movie shots, designers to understand transportation infrastructure usage, instructors to create realistic and purposeful military training or engineers to operate energy infrastructures.

"A Gentle Introduction to Large Language Models"

Abstract: This presentation is tailored for both non-ML professionals curious about integrating LLMs into their company products and technical individuals new to LLMs.
We'll begin with a simple overview of LLMs, touching on their history and basic definitions.We'll demystify how these models are trained, making it relatable without heavy jargon.
Though LLMs are powerful, they have challenges. We'll address common hurdles, ensuring everyone understands both their potential and limits.For those wondering how LLMs can improve their productivity, we'll provide straightforward tips.
We'll also discuss building LLM-powered applications, focusing on aspects like user interfaces and deciding between external or in-house solutions.Concluding, we'll peek into the future of LLMs. Join us for a clear and newby-friendly dive into the world of Large Language Models, suitable for both business and technical newcomers.

About Alex: Alex is a physicist by degree and an ML engineer by trade.
He's contributed to open-source projects widely used in the industry and academic studies.
He has experience in developing ML-powered projects for a diverse range of companies, from emerging startups to established Fortune 500 firms.
Now an independent consultant, Alex assists businesses in enhancing their ML and MLOps methodologies.
In addition, he co-founded the PyData Montreal and Montreal MLOps meetup groups.
Beyond this, he serves as an instructor for O'Reilly Media, where he offers courses on MLOps best practices.