Dear PyLadies 💚🐍

Our next on-site event is coming on the 27th of November featuring 𓆙 Adrin Jalali from Probabl and Celia Kherfallah from Zama and continuing with ⚡ lightning talks where you can take 3 mins to talk about anything Python or tech related (more below)

🌟Agenda (preliminary)

18h30 - 18h45 Come and take your seat

18h45 - 19h00 Welcome by PyLadies Paris and GitGuardian

19h00 - 19h30 Let’s exploit pickle, and `skops` to the rescue! by Adrin Jalali from Probabl.

19h30 - 20h00 Privacy-Preserving Machine Learning With Fully Homomorphic Encryption (FHE) by Celia Kherfallah from Zama

20h00 - 20h20 Lightning talks

20h20 - 22h00 Pizza & networking

🌟 Adrin Jalali from Probabl Talk Title: Let’s exploit pickle, and `skops` to the rescue!

Abstract: Pickle files can be evil and simply loading them can run arbitrary code on your system. This talk presents why that is, and we show in simple ways how you can create such an exploit. It would give you a good basis to understand pickle vulnerabilities. This talk also gives you the resources to find more about these exploits.

We then talk about how `skops` [1] is tackling the issue for scikit-learn/statistical ML models. We go through some lower level pickle related machinery, and go in detail how the new format works. The new format does not only solve the issue for scikit-learn models, but also for most third party estimators which are in the same ecosystem.

In terms of usage, you can simply change two import statements and use the new format almost as a drop in replacement.

- [1] https://skops.readthedocs.io/en/stable/persistence.html

About Adrin: Adrin, a cofounder at probabl.ai, works on a few open source projects including skops which tackles some of the MLOps challenges related to scikit-learn models. He has a PhD in Bioinformatics, has worked as a consultant, and in an algorithmic privacy and fairness team. He's also a core developer of scikit-learn and fairlearn.

🌟 Celia Kherfallah from Zama Talk Title: Privacy-Preserving Machine Learning With Fully Homomorphic Encryption (FHE)

Abstract: We live in an era where the amount of online data has reached hundreds of zettabytes, and cloud services are evolving at an unprecedented rate. Despite tighter regulations, the risk of personal data misuse remains a major concern. At Zama, we believe that responsibility for this issue doesn’t rest with Internet users, but with developers. It is their duty to ensure the protection and security of the data they process.

In this talk, we'll raise awareness among developers about the importance of data privacy, thanks to Fully Homomorphic Encryption (FHE). We'll also introduce Zama's Concrete ML library, which provides the necessary tools (built using FHE) for training models, performing inference on encrypted data, and deploying these solutions, which will enable developers to integrate strong privacy protections without requiring any specific knowledge in cryptography.

About Celia: Celia, Machine Learning Researcher at Zama, has contributed to the development of the Concrete ML library and to the democratization of Fully Homomorphic Encryption (FHE) in the field of Machine Learning.

Get ready for lightning talks: Many of you told us that you would like to give a talk, but your project is not mature enough. You no longer have to worry about it. Come and practice your public speaking during the 3 minutes time-slot. Some ideas on what you can talk about:

• Python library or function you love or which you recently discovered,
• article you've read
• your journey into Python
• conference you have attended

You can decide anytime before the start of lightning talks or you may want to prepare up to one slide (in pdf format) which you can send us the latest on the 11th of March to [email protected]

GitGuardian will be our host and sponsor of the food and the drinks during the networking session after the talks: thank you 💚 and special thanks to Oscar Burns and Antoine Gaillard from GitGuardian for all the support.

Important info

1:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you and register for the event with your real name and family name. Thank you!

2: Please be on time. We can’t guarantee a seat once the meetup has started

# 🔍 FAQ

Q. I'm not female, is it ok for me to attend?

A. Yes, PyLadies Paris events are open to everyone at all levels.

Livestream (to start at 6:30): https://seldon.wistia.com/live/events/sgzo0vx1v0 In Person Form: https://forms.gle/spdJTrz6V7YQ1Kth8 *** MLOps London is back again in November 2024 with talks on all things ML. The plan, as usual, is to run another hybrid event so please come along in person if you're local or need an excuse to travel to London, or join us live otherwise.

⚠️ Don't forget to fill out the form above if you are coming to the in-person event. The venue needs the list of attendees to let you in ⚠️

AGENDA: ⏱️ 6:00 pm onwards - Doors Open Small bites and non-alcoholic drinks will be available

⏱️ 6:30 pm - Kick off and Welcome

⏱️ 6:35 pm What if your database could do real-time anomaly detection? Tobie Morgan Hitchcock - CEO and Co-founder of SurrealDB

Like the shift from normal phones to smartphones, there is a shift happening from normal databases to smart databases. In this talk, we’ll explore what this shift means practically by going through a hands-on demonstration of how rapidly you can iterate on real-time anomaly detection when it’s all done in the database.

⏱️ 7:20 pm - Networking Break

⏱️ 7:45 pm Retrievers, Rankers and Multi-Objective Balancers: Evolution of LLM Context Engines & Recommender Systems Rishabh Mehrotra \| Co-founder at Stealth Startup\, ex-Sourcegraph\, Sharechat\, Spotify

This talk discusses the evolution of ML techniques used to power large scale recommendation systems, that have recently been used to power context engines of various LLM applications. This talk delves into the algorithms behind state-of-the-art candidate generators, rankers, and multi-objective balancing models. We highlight the design and evaluation challenges inherent in these systems and provide insights on grounding them based on the maturity of production system.

⏱️ 8:10 pm - 9:00 pm Final Questions, Wrap Up, & Networking

*** ⚠️ If you are attending in person please complete the registration form (link at the top of this description) ⚠️

Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online.

** RSVP here: https://www.aicamp.ai/event/eventdetails/W2023112310 *******

Description: Welcome to our monthly in-person AI meetup in Paris. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers and fellow developers.

This meet-up is a unique opportunity to connect with fellow AI developers, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in Generative AI, LLMs and Vector Databases, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation and practices.

Agenda:

• 6:00pm\~6:30pm: Checkin, Food/Snacks/Drink and networking
• 6:30pm\~6:45pm: Welcome/community update
• 6:45pm\~7:45pm: Tech talks
• 7:45pm: Open discussion & Mixer *

Tech Talk 1: Operationalize ML Algorithms and LLMs for Production Speaker: Ludovic Rocroy @Craft AI Abstract: Transitioning a Machine Learning script into a production-ready application can be a complex task. This conference explores the technical aspects of AI architecture, with a particular emphasis on Craft AI, a MLOps and LLMOps platform designed to industrialize ML and Generative AI. We will demonstrate strategies for accelerating the development, deployment, and operationalization of ML and LLMs at scale. To ensure the reliability of AI application development, we will highlight the importance of monitoring model performance, addressing biases, and enabling explainable AI.

Tech Talk 2: Estimating the Cost of an AI Project, or How to Minimize Estimation Errors Speaker: Victor Galli @Kayro.ai Abstract: Everyone hates estimates. It is a perilous exercise, filled with uncertainties, and in many cases, estimates are presented as deadlines, which can put the delivery team in trouble if they are too ambitious. Yet, they are a necessary evil. So, how can we minimize errors in estimation for AI projects? And if one doesnot have a technical background, how can they challenge and ensure that they are not being misled?

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 8,000+ local or 300K+ developers worldwide.

Community Managers: we are looking for passionate community managers who are enthusiastic about nurturing tech communities. Join us in planning, hosting meetup events, and build and grow the local AI/ML developer community. In addition to broadening your personal network and acquiring valuable tech skills, we'll make sure to reward your dedication and time.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #paris channel)

** RSVP here: https://www.aicamp.ai/event/eventdetails/W2023112310 *******

Description: Welcome to our monthly in-person AI meetup in Paris. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers and fellow developers.

This meet-up is a unique opportunity to connect with fellow AI developers, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in Generative AI, LLMs and Vector Databases, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation and practices.

Agenda:

• 6:00pm\~6:30pm: Checkin, Food/Snacks/Drink and networking
• 6:30pm\~6:45pm: Welcome/community update
• 6:45pm\~7:45pm: Tech talks
• 7:45pm: Open discussion & Mixer *

Tech Talk 1: Operationalize ML Algorithms and LLMs for Production Speaker: Ludovic Rocroy @Craft AI Abstract: Transitioning a Machine Learning script into a production-ready application can be a complex task. This conference explores the technical aspects of AI architecture, with a particular emphasis on Craft AI, a MLOps and LLMOps platform designed to industrialize ML and Generative AI. We will demonstrate strategies for accelerating the development, deployment, and operationalization of ML and LLMs at scale. To ensure the reliability of AI application development, we will highlight the importance of monitoring model performance, addressing biases, and enabling explainable AI.

Tech Talk 2: Estimating the Cost of an AI Project, or How to Minimize Estimation Errors Speaker: Victor Galli @Kayro.ai Abstract: Everyone hates estimates. It is a perilous exercise, filled with uncertainties, and in many cases, estimates are presented as deadlines, which can put the delivery team in trouble if they are too ambitious. Yet, they are a necessary evil. So, how can we minimize errors in estimation for AI projects? And if one doesnot have a technical background, how can they challenge and ensure that they are not being misled?

Speakers/Topics: Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Sponsors: We are actively seeking sponsors to support AI developers community. Whether it is by offering venue spaces, providing food, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 8,000+ local or 300K+ developers worldwide.

Community Managers: we are looking for passionate community managers who are enthusiastic about nurturing tech communities. Join us in planning, hosting meetup events, and build and grow the local AI/ML developer community. In addition to broadening your personal network and acquiring valuable tech skills, we'll make sure to reward your dedication and time.

Community on Slack - Event chat: chat and connect with speakers and attendees - Sharing blogs\, events\, job openings\, projects collaborations Join Slack (search and join the #paris channel)

📽️ Livestream: https://www.youtube.com/watch?v=2h-IpI-BXqg 🧑 In Person: https://forms.gle/syYGRS6cAz5GQtzk9 ***

MLOps London is back again in November with more talks on production machine learning, DevOps and Data Science. The plan, as usual, is to run another hybrid event so please come along in person if you're local. If you're further afield you will still be able to join the stream.

***

AGENDA: ⏱️ 6.00pm onwards 🍺 Arrival, drinks and networking

⏱️ 6.30pm 🎤 Kick off and welcome

⏱️ 6.40pm 🎤 Zero Shot Synthetic Image Recognition, from 3D asset to Embedding 🧑 Patric Fulop - Co-Founder & CTO @ Neurolabs

This talk will cover challenges & solutions for detecting physical products with zero shot image recognition across different use cases and with an ever changing catalogue. Within the Consumer Product Goods (CPG) space, accurate object recognition is a challenging task due to the highly diverse real environments a long tail distribution in the real data available and a constantly changing product catalogue.

We present a synthetic image recognition pipeline that aims to solve the above challenges and present three main ingredients: - a data generation engine that creates synthetic data from 3D models - a domain agnostic vision module that creates synthetic data embeddings - the MLOps tools used to deploy the vision module for clients to onboard new products & detect them in the real world.

⏱️ 7.25pm 🎤 Turbocharging architectural stakeholder engagement with ML 🧑 Michael Calver - CEO @ Amutri

Amutri is building a first of it's kind architectural design communication platform that allows architects to engage with the full range of stakeholders and local communities. This talk will present the wide range of machine learning use-cases involved in this product that enables stakeholders to work together to deliver higher quality and cost efficient architectural outcomes.

*** If you are attending in person please complete the registration form (link at top of this description)

This is PAID event. More info you may find here - https://hubs.li/Q01N-5Tl0 Use ODSC_Community2023 code for an extra discount.

Virtual tickets - https://hubs.li/Q01WkxrH0 In-person tickets - https://hubs.li/Q01Wkx060

We couldn’t be more excited to announce that registration for ODSC West is now open, and we've got some exciting new developments for the conference.

To provide you with even more expert-led training, we are extending the conference by one day. This year, West will run for 4 days, from October 31st - November 3rd. Over those 4 days, you’ll have your choice of training sessions, workshops, and talks covering a wide range of topics, from the essentials to the cutting-edge.

Check them out below.

• Machine Learning and Deep Learning: Discuss the latest advances, trends, and models with leading experts in these rapidly expanding fields
• Data Engineering & MLOps: Learn best practices for effective data science management through use cases, discussions on best practices, and anecdotes from the field.
• Generative AI: Gain core skills needed to become a part of this movement to both develop and implement generative AI into your organization or research.
• NLP & LLMs: Connect with some of the most innovative people and ideas in the world of data science to explore recent developments in NLP and LLMs.
• Responsible AI: Discover the many ways organizations are applying their data science infrastructure in the name of making the world a better place. Learn through stories of success and failures, and core practices that are implemented by change makers.
• Machine Learning Safety & Security: Explore a wide range of topics including, adversarial attacks, backdoor model vulnerabilities, real-world deployment tail risks, risk monitoring, and boosting model defenses.
• Big Data Analytics: Build your understanding of how to more efficiently and accurately analyze data utilizing SQL, Python and Data Storytelling.

You can learn more about what to expect from ODSC West 2023 here - https://hubs.li/Q01VFhFB0

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01VgLrB0 • Virtual ODSC APAC 2023 on 22nd-23rd Aug - https://hubs.li/Q01N-4GX0 • Hybrid ODSC West 2023 on 31st Oct-3rd Nov - https://hubs.li/Q01N-5Tl0 • Code of conduct: https://odsc.com/code-of-conduct/

This is PAID event. More info you may find here - https://hubs.li/Q01N-5Tl0 Use ODSC_Community2023 code for an extra discount.

Virtual tickets - https://hubs.li/Q01WkxrH0 In-person tickets - https://hubs.li/Q01Wkx060

We couldn’t be more excited to announce that registration for ODSC West is now open, and we've got some exciting new developments for the conference.

To provide you with even more expert-led training, we are extending the conference by one day. This year, West will run for 4 days, from October 31st - November 3rd. Over those 4 days, you’ll have your choice of training sessions, workshops, and talks covering a wide range of topics, from the essentials to the cutting-edge.

Check them out below.

• Machine Learning and Deep Learning: Discuss the latest advances, trends, and models with leading experts in these rapidly expanding fields
• Data Engineering & MLOps: Learn best practices for effective data science management through use cases, discussions on best practices, and anecdotes from the field.
• Generative AI: Gain core skills needed to become a part of this movement to both develop and implement generative AI into your organization or research.
• NLP & LLMs: Connect with some of the most innovative people and ideas in the world of data science to explore recent developments in NLP and LLMs.
• Responsible AI: Discover the many ways organizations are applying their data science infrastructure in the name of making the world a better place. Learn through stories of success and failures, and core practices that are implemented by change makers.
• Machine Learning Safety & Security: Explore a wide range of topics including, adversarial attacks, backdoor model vulnerabilities, real-world deployment tail risks, risk monitoring, and boosting model defenses.
• Big Data Analytics: Build your understanding of how to more efficiently and accurately analyze data utilizing SQL, Python and Data Storytelling.

You can learn more about what to expect from ODSC West 2023 here - https://hubs.li/Q01VFhFB0

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01VgLrB0 • Virtual ODSC APAC 2023 on 22nd-23rd Aug - https://hubs.li/Q01N-4GX0 • Hybrid ODSC West 2023 on 31st Oct-3rd Nov - https://hubs.li/Q01N-5Tl0 • Code of conduct: https://odsc.com/code-of-conduct/

This is PAID event. More info you may find here - https://hubs.li/Q01N-5Tl0 Use ODSC_Community2023 code for an extra discount.

Virtual tickets - https://hubs.li/Q01WkxrH0 In-person tickets - https://hubs.li/Q01Wkx060

We couldn’t be more excited to announce that registration for ODSC West is now open, and we've got some exciting new developments for the conference.

To provide you with even more expert-led training, we are extending the conference by one day. This year, West will run for 4 days, from October 31st - November 3rd. Over those 4 days, you’ll have your choice of training sessions, workshops, and talks covering a wide range of topics, from the essentials to the cutting-edge.

Check them out below.

• Machine Learning and Deep Learning: Discuss the latest advances, trends, and models with leading experts in these rapidly expanding fields
• Data Engineering & MLOps: Learn best practices for effective data science management through use cases, discussions on best practices, and anecdotes from the field.
• Generative AI: Gain core skills needed to become a part of this movement to both develop and implement generative AI into your organization or research.
• NLP & LLMs: Connect with some of the most innovative people and ideas in the world of data science to explore recent developments in NLP and LLMs.
• Responsible AI: Discover the many ways organizations are applying their data science infrastructure in the name of making the world a better place. Learn through stories of success and failures, and core practices that are implemented by change makers.
• Machine Learning Safety & Security: Explore a wide range of topics including, adversarial attacks, backdoor model vulnerabilities, real-world deployment tail risks, risk monitoring, and boosting model defenses.
• Big Data Analytics: Build your understanding of how to more efficiently and accurately analyze data utilizing SQL, Python and Data Storytelling.

You can learn more about what to expect from ODSC West 2023 here - https://hubs.li/Q01VFhFB0

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01VgLrB0 • Virtual ODSC APAC 2023 on 22nd-23rd Aug - https://hubs.li/Q01N-4GX0 • Hybrid ODSC West 2023 on 31st Oct-3rd Nov - https://hubs.li/Q01N-5Tl0 • Code of conduct: https://odsc.com/code-of-conduct/