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Title & Speakers	Event
PyData Slovakia & Bratislava Meetup #29 [Radovan Kavicky: Under the Hood of LLM] 2025-05-14 · 15:00 Talk Title: "Under the Hood of LLM" Description: In this talk we unveil the inner workings of Large Language Models (LLMs), explore the architecture of Transformers and how chatbots and AI agents works underneath. This talk also dives into the concept of Model Context Protocol (MCP), the limitless potential that it offers and how it differs from RAG and other protocols like A2A. Join us for an in-depth look at how these powerful AI models that you already use on daily basis really work, how they process data, generate responses and redefine and push the boundaries of artificial intelligence. Speaker/Bio: Radovan Kavicky Radovan Kavicky \\| President & Principal Data Scientist @ GapData Institute https://www.linkedin.com/in/radovankavicky/ & https://radovankavicky.substack.com/ Radovan currently works as President & Principal Data Scientist at GapData Institute/GDI Institute and is an expert in XAI (Explainable AI), i.e. the field of scientific research at the intersection of mathematics and artificial intelligence, he also works as a AI Consultant (AI IXX/Dubai, UAE) for the implementation of AI and Data Science knowledge in business, economics and public administration - in April 2025 he successfully completed the prestigious AI Connect program (nominated in 2024 as the only Slovak) under the auspices of the US Department of State (Bureau of Cyberspace and Digital Policy) and the Atlantic Council GeoTech Center\, which aims to help countries such as Slovakia transfer technology and knowledge in the field of AI towards responsible and successful implementation in public administration and the economy - in April 2024 he was invited (keynote) to represent the CEE region and Europe as the historically first Slovak at the Global AI Show 2024 in Dubai (with 10k+ attendees one of the world's largest AI events) - previously a member of Slovak.AI and until May 2024 also worked as Data Science & AI Evangelist at AIslovakIA - National Platform for the Development of Artificial Intelligence in Slovakia and in cooperation with MIRRI/MIRDI (Ministry of Investment\, Regional Development and Informatics of the Slovak Republic) led a mission of Slovak AI researchers at University of Cambridge - Radovan is a member of several international and European professional and professional organizations in AI and data science\, such as: British Computer Society (Member\, #BCS)\, Slovak Economic Association (SEA)\, IEEE Computer Society (Member\, #IEEE)\, Slovak.AI (#SlovakAI)\, CLAIRE/CAIRNE\, European AI Alliance & TAILOR network\, AAAI\, EurAI\, AI4SK\, ELLIS\, AIDA - selected lectures from past: @Global AI Show (Dubai\, 2024\, Keynote) @WeAreDevelopers (Berlin\, 2023) @TAILOR (Brussels\, 2023) @CODECON (Bratislava\, 2023\, main talk) @DATAcated (New York\, 2022) @PyData (Hamburg\, 2022) @ML Prague (2023\, 2022) @Data Science Summit (Warsaw\, 2021) @PyData (Hong Kong\, 2021) @ODSC Europe (London\, 2021) @WeAreDevelopers (WeAreDevsLIVE\, 2021) @Data Science Conference (DSG 5.0\, 2019) @H2O.ai (Prague\, 2019) @PyCon LT (PyData track\, Vilnius\, 2019) @VDSG (Linz\, 2019) @TechSummit (Bratislava\, 2017 & 2019) @PyData (Berlin\, 2017) LinkedIn: https://www.linkedin.com/in/radovankavicky/ Registration: @Meetup.com group's event here (https://www.meetup.com/pydata-slovakia-bratislava/events/307439940/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-slovakia-ba-meetup-29-radovan-kavicky-under-the-hood-of-llm-tickets-1335453710999). +our event you can find also @Facebook here (https://www.facebook.com/events/2193597837725593/) and LinkedIn here (https://www.linkedin.com/events/7320847136919564288/about/). [Disclaimer: If you just mark "going" @Facebook event we can't guarantee your seat] Language of the event: English PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia] -- PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States. The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; [email protected]). Our Facebook group you can find here: https://www.facebook.com/groups/1813599648877946/ Our Twitter account here: https://twitter.com/PyDataBA Our LinkedIn group here: https://www.linkedin.com/groups/13506080 Organizers: GapData Institute (https://www.gapdata.org/) (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good. \\|\\| Data. Think. Change. \\|\\| NumFOCUS (http://www.numfocus.org/) is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research.	PyData Slovakia & Bratislava Meetup #29 [Radovan Kavicky: Under the Hood of LLM]
PyData London (CFP Open Until 4th March) 2024-06-14 · 08:00 Call For Proposals * Visit the CFP website to submit your proposal - Call for Proposals — PyData London 2024. * The CFP deadline in 4th March 2024. * Please monitor PyData London's social media channels for any extensions) About PyData London 2024 is a 3-day event for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. Over the span of 3 days, attendees will have the opportunity to participate in workshops, attend live keynote sessions and talks, as well as get to know fellow members of the PyData Community. Venue The event will be in-person at the Leonardo Royal Hotel London Tower Bridge (45 Prescot St, London E1 8GP, United Kingdom) on Friday, June 14 - Sunday June 16, 2023.	PyData London (CFP Open Until 4th March)
PyData Cambridge - 53rd Meetup 2024-05-15 · 18:00 Agenda 📣📣We are happy to announce the 53rd PyData Cambridge meetup!📣📣 Agenda: 18:45 - 🚪 Doors open (Please do not arrive earlier) 19:00 - ▶️ Introduction 19:15 - 🗣 Image Registration: How to align images, by Mayank Patwari, Astra Zeneca. 19:50 - 🍕 Interval - pizza and drinks provided 20:15 - 🗣Data-driven optimization for expensive problems: a chemical reactor case study, by Antonio del Rio Chanona, Imperial College London. 20:50 - 🍻 End (Pub - Station Tavern, Station Square, map here). This event is sponsored by the Raspberry Pi Foundation. ---------------------------------------------------------------- Abstracts Image Registration: How to align images, by Mayank Patwari Image registration, the process of aligning two images with identical or overlapping content, is a ubiquitous challenge in various domains today. From seamlessly stitching together images to craft panoramic views to capturing objects in 3D through scanning, the applications of image registration are manifold and impactful. This talk will delve into the fundamental mathematical principles and essential methodologies underpinning image registration techniques. Moreover, it will explore compelling real-world applications, showcasing the diverse range of scenarios where image registration plays a pivotal role. Data-driven optimization for expensive problems: a chemical reactor case study Antonio del Rio Chanona The rise of digitalization, including smart measuring devices, analytical technology, sensor technologies, cloud platforms, and the Industrial Internet of Things (IIoT), has led to the emergence of data-driven optimization. Optimization algorithms that are guided purely by collected data are now in high demand. In this talk, we will discuss Bayesian optimization, a data-driven optimization algorithm, and its application to solving "expensive" optimization problems. Expensive data-driven optimization problems are those with high costs, such as neural network hyperparameter tuning, expensive computer simulations, and chemical experiments. These costs can be computational time, monetary, or any other budget. Our focus will be on the design of chemical reactors coupled with computational fluid dynamics simulations and their manufacturability via 3D printing. We will explore how Bayesian optimization can be used to optimize chemical reactor design and improve their performance while reducing costs. By leveraging data-driven optimization algorithms, we can achieve more efficient and sustainable chemical processes. This talk will provide insights into the potential of Bayesian optimization for engineering systems. ---------------------------------------------------------------- Speakers Bios Mayank is a dedicated scientist with a diverse skill set encompassing computer vision, biomedical engineering, machine learning, and medical physics. He earned his Master's degree in Biomedical Computing from TU Munich and completed his Bachelor's degree at the University of Hong Kong. Mayank's research primarily focuses on machine learning applications in computer vision and medical imaging, resulting in several noteworthy publications. One of his papers was recognized as among the top 10% most read papers in the years 2023-2024 by the prestigious journal Medical Physics, highlighting his contributions to the field. Antonio del Rio Chanona is head of the Optimisation and Machine Learning for Process Systems Engineering group at the Department of Chemical Engineering, Imperial College London. Antonio received his MEng from UNAM in Mexico, and his PhD from the University of Cambridge where he was awarded the Danckwerts-Pergamon Prize for the best doctoral thesis of his year. Antonio’s main research interests include Data-Driven Optimisation, Reinforcement Learning, Control and Hybrid Modelling applied to process systems engineering. ---------------------------------------------------------------- Code of Conduct PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form. The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behaviour of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen ([email protected]) or organizers.	PyData Cambridge - 53rd Meetup
Big PyData BBQ #5: Large Language Models 2023-09-21 · 16:00 If you like cool talks about 🧑‍🔬 Data Science, 🤖Artificial Intelligence, 🐍 coding or 🤗 community, the Big PyData BBQ is the place to be! 🔥 KÖNIGSWEG and hei_INNOVATION invite you to join the 5️⃣th edition of the annual big gathering of the PyData Südwest community. Besides talks there will be a lot of time for networking over a delicious 🥦+🍖 BBQ . This year's topic: Large Language Models 🔥🤩 Confirmed Speakers Ines Montani (ExplosionAI / spaCy) Alejandro Saucedo (Director of Eng, Science, Product & Analytics Zalando / Institute for Ethical AI & Machine Learning) Michael Gertz (Institute of Computer Science, Heidelberg University) Alina Lenhardt (Cerence) The event will be live streamed and published on PyDataTV. 18:00 Welcome 👋 📺 18:20 Talk Ines Montani 📺 19:00 BBQ 🍖🥦 UPDATE: 20:30 🛋️ Panel: Alejandro, Alexander, Alina, Ines, Michael 📺 UPDATE: 21:30 ⚡ Lightning Talks. 📺 UPDATE: 21:30 Networking. 🍻 UPDATE: 22:00 End. 📺 = live stream 🍖🥦, 🍻 = locally, only About our speakers: Ines Montani, a renowned software developer, is a co-founder of Explosion AI, a digital laboratory specializing in artificial intelligence and machine learning. She is a lead developer of spaCy, a widely used open-source library for advanced natural language processing (NLP) in Python. Together with Matthew Honnibal, she also developed Prodigy, a machine learning annotation tool that aids in the efficient creation of training data. Montani is an advocate for OSS, working tirelessly to make the fields of AI and ML more accessible. Alejandro Saucedo is a technology entrepreneur and software engineer known for his work in machine learning and artificial intelligence. He is Director of Eng, Science, Product & Analytics at Zalando and the Chief Scientist at The Institute for Ethical AI & Machine Learning, a London-based research organization focused on developing best practices for machine learning and artificial intelligence, among others. Saucedo has a strong technical background and has worked in software development, ML and data science. He has spoken at numerous events and is promoting ethical practices in AI development Michael Gertz is a full professor at Heidelberg University where he heads the Database Systems Research Group at the faculty of Mathematics and Computer Science. He received his diploma in Computer Science from the TU Dortmund University, and his Dr. rer. nat. from the Leibniz University of Hannover in 1996. From 1997 until 2008 he was a faculty at Department of Computer Science at the University of California at Davis. His interdisciplinary research interests include text analytics, data mining, complex networks, and scientific data management, with applications in the medical sciences, law, physics, political sciences, and economics. Alina Lenhardt is a computational linguistat at Cerence and Program Committee Chair at PyConDE & PyData Berlin 2023. Alexander Hendorf is one of the organizers of PyData Südwest and is heavily involved in the Python & PyData community. For him, contributing to open source and the community means giving something back, as his company Königsweg uses open source to implement Data Science & AI for its customers. ⚡️ Lightning Talks (5 min. each) 1. Alessandro Angioi - Supercharge your language learning journey with Python 2. Bela Stoyan - Automatically transform complex python methods to polars expressions 3. Irina Smirnova-Pinchukova - Croshapes - using graph to design a toy 😍 A big thank you to our sponsors: hei_INNOVATION, for hosting the meetup. KÖNIGSWEG, for supporting the organization. NUMFOCUS, for promoting open source software. Python Softwareverband e.V., for support. Contact If you have any questions or suggestions, please feel free to contact us via: Meetup Want to speak? Submit a talk here. Interested in hosting an event? Here's our Info-Deck & contact to the organisers!	Big PyData BBQ #5: Large Language Models
PyData London - 75th meetup 2023-07-04 · 18:00 Venue: 1 Angel Lane, EC4R 3AB Please note: 🚨🚨🚨A valid photo ID is required by building security. You MUST use your full real names on your meetup profile, otherwise, you will NOT make it on the guest list! 🚨🚨🚨 This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Tickets are assigned through a lottery draw about 1 week before the event. If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in. If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list. Code of Conduct: This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct. As always, there'll be free food & drinks, generously provided by our host, Man Group. Main Talks 1️⃣ Evaluating Distributional Forecasts - Leonidas Tsaprounis In this talk we will focus on the metrics you can use to evaluate distributional forecasts. Distributional forecasts can be in the form of monte-carlo samples of future paths or analytical distributions and they aim to describe the full distribution for a forecasted time point. Using simple implementations with numpy and scipy we will go through the properties of different metrics like the Continuous Rank Probability Score (CRPS) and the Log Score and use them to pick the best forecasting algorithm using cross-validation. 2️⃣ How To Build Your Own Private ChatGPT Using Streamlit, LangChain & Vicuna - John Sandall Your garden variety Large Language Model (LLM) is pretty great but comes with some downsides: no information after September 2021, and potentially insecure if you want to leverage internal documents and sensitive data, so let's build our own Vicuna-powered “ChatGPT”! Lightning Talks ⚡ ⚡1️⃣ Open Source is Technically Illegal – Casper da Costa-Luis You are probably breaking the law. ⚡2️⃣ London Data Week – Jennifer Ding London Data Week 2023 (https://www.londondataweek.org/) runs from 3rd-9th July, a citywide festival about data to learn, create, discuss, and explore how to use data to shape our city for the better. Find out what's happening across London, from Turing Institute's data cabaret to citizen science. Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with! Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members! Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.	PyData London - 75th meetup

PyData Slovakia & Bratislava Meetup #29 [Radovan Kavicky: Under the Hood of LLM] 2025-05-14 · 15:00

Talk Title: "Under the Hood of LLM"

Description: In this talk we unveil the inner workings of Large Language Models (LLMs), explore the architecture of Transformers and how chatbots and AI agents works underneath. This talk also dives into the concept of Model Context Protocol (MCP), the limitless potential that it offers and how it differs from RAG and other protocols like A2A. Join us for an in-depth look at how these powerful AI models that you already use on daily basis really work, how they process data, generate responses and redefine and push the boundaries of artificial intelligence.

Speaker/Bio: Radovan Kavicky Radovan Kavicky \| President & Principal Data Scientist @ GapData Institute https://www.linkedin.com/in/radovankavicky/ & https://radovankavicky.substack.com/

Radovan currently works as President & Principal Data Scientist at GapData Institute/GDI Institute and is an expert in XAI (Explainable AI), i.e. the field of scientific research at the intersection of mathematics and artificial intelligence, he also works as a AI Consultant (AI IXX/Dubai, UAE) for the implementation of AI and Data Science knowledge in business, economics and public administration

- in April 2025 he successfully completed the prestigious AI Connect program (nominated in 2024 as the only Slovak) under the auspices of the US Department of State (Bureau of Cyberspace and Digital Policy) and the Atlantic Council GeoTech Center\, which aims to help countries such as Slovakia transfer technology and knowledge in the field of AI towards responsible and successful implementation in public administration and the economy

- in April 2024 he was invited (keynote) to represent the CEE region and Europe as the historically first Slovak at the Global AI Show 2024 in Dubai (with 10k+ attendees one of the world's largest AI events)

- previously a member of Slovak.AI and until May 2024 also worked as Data Science & AI Evangelist at AIslovakIA - National Platform for the Development of Artificial Intelligence in Slovakia and in cooperation with MIRRI/MIRDI (Ministry of Investment\, Regional Development and Informatics of the Slovak Republic) led a mission of Slovak AI researchers at University of Cambridge

- Radovan is a member of several international and European professional and professional organizations in AI and data science\, such as: British Computer Society (Member\, #BCS)\, Slovak Economic Association (SEA)\, IEEE Computer Society (Member\, #IEEE)\, Slovak.AI (#SlovakAI)\, CLAIRE/CAIRNE\, European AI Alliance & TAILOR network\, AAAI\, EurAI\, AI4SK\, ELLIS\, AIDA

- selected lectures from past: @Global AI Show (Dubai\, 2024\, Keynote) @WeAreDevelopers (Berlin\, 2023) @TAILOR (Brussels\, 2023) @CODECON (Bratislava\, 2023\, main talk) @DATAcated (New York\, 2022) @PyData (Hamburg\, 2022) @ML Prague (2023\, 2022) @Data Science Summit (Warsaw\, 2021) @PyData (Hong Kong\, 2021) @ODSC Europe (London\, 2021) @WeAreDevelopers (WeAreDevsLIVE\, 2021) @Data Science Conference (DSG 5.0\, 2019) @H2O.ai (Prague\, 2019) @PyCon LT (PyData track\, Vilnius\, 2019) @VDSG (Linz\, 2019) @TechSummit (Bratislava\, 2017 & 2019) @PyData (Berlin\, 2017)

LinkedIn: https://www.linkedin.com/in/radovankavicky/

Registration:

@Meetup.com group's event here (https://www.meetup.com/pydata-slovakia-bratislava/events/307439940/) & @Eventbrite registration here (https://www.eventbrite.com/e/pydata-slovakia-ba-meetup-29-radovan-kavicky-under-the-hood-of-llm-tickets-1335453710999). +our event you can find also @Facebook here (https://www.facebook.com/events/2193597837725593/) and LinkedIn here (https://www.linkedin.com/events/7320847136919564288/about/).

[Disclaimer: If you just mark "going" @Facebook event we can't guarantee your seat]

Language of the event: English

PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia]

-- PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.

The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; [email protected]).

Our Facebook group you can find here: https://www.facebook.com/groups/1813599648877946/

Our Twitter account here: https://twitter.com/PyDataBA

Our LinkedIn group here: https://www.linkedin.com/groups/13506080

Organizers: GapData Institute (https://www.gapdata.org/) (GDI) is a nonprofit nonpartisan research institution harnessing power of data & wisdom of economics for public good.

\|\| Data. Think. Change. \|\|

NumFOCUS (http://www.numfocus.org/) is a 501(c)(3) nonprofit that supports and promotes world-class, innovative, open source scientific computing. The mission of NumFOCUS is to promote sustainable high-level programming languages, open code development, and reproducible scientific research.

PyData Slovakia & Bratislava Meetup #29 [Radovan Kavicky: Under the Hood of LLM]

PyData London (CFP Open Until 4th March) 2024-06-14 · 08:00

Call For Proposals * Visit the CFP website to submit your proposal - Call for Proposals — PyData London 2024. * The CFP deadline in 4th March 2024. * Please monitor PyData London's social media channels for any extensions)

About PyData London 2024 is a 3-day event for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

Over the span of 3 days, attendees will have the opportunity to participate in workshops, attend live keynote sessions and talks, as well as get to know fellow members of the PyData Community.

Venue The event will be in-person at the Leonardo Royal Hotel London Tower Bridge (45 Prescot St, London E1 8GP, United Kingdom) on Friday, June 14 - Sunday June 16, 2023.

PyData London (CFP Open Until 4th March)

PyData Cambridge - 53rd Meetup 2024-05-15 · 18:00

Agenda 📣📣We are happy to announce the 53rd PyData Cambridge meetup!📣📣 Agenda: 18:45 - 🚪 Doors open (Please do not arrive earlier) 19:00 - ▶️ Introduction 19:15 - 🗣 Image Registration: How to align images, by Mayank Patwari, Astra Zeneca. 19:50 - 🍕 Interval - pizza and drinks provided 20:15 - 🗣Data-driven optimization for expensive problems: a chemical reactor case study, by Antonio del Rio Chanona, Imperial College London. 20:50 - 🍻 End (Pub - Station Tavern, Station Square, map here).

This event is sponsored by the Raspberry Pi Foundation. ----------------------------------------------------------------

Abstracts

Image Registration: How to align images, by Mayank Patwari Image registration, the process of aligning two images with identical or overlapping content, is a ubiquitous challenge in various domains today. From seamlessly stitching together images to craft panoramic views to capturing objects in 3D through scanning, the applications of image registration are manifold and impactful. This talk will delve into the fundamental mathematical principles and essential methodologies underpinning image registration techniques. Moreover, it will explore compelling real-world applications, showcasing the diverse range of scenarios where image registration plays a pivotal role.

Data-driven optimization for expensive problems: a chemical reactor case study Antonio del Rio Chanona The rise of digitalization, including smart measuring devices, analytical technology, sensor technologies, cloud platforms, and the Industrial Internet of Things (IIoT), has led to the emergence of data-driven optimization. Optimization algorithms that are guided purely by collected data are now in high demand. In this talk, we will discuss Bayesian optimization, a data-driven optimization algorithm, and its application to solving "expensive" optimization problems.

Expensive data-driven optimization problems are those with high costs, such as neural network hyperparameter tuning, expensive computer simulations, and chemical experiments. These costs can be computational time, monetary, or any other budget. Our focus will be on the design of chemical reactors coupled with computational fluid dynamics simulations and their manufacturability via 3D printing.

We will explore how Bayesian optimization can be used to optimize chemical reactor design and improve their performance while reducing costs. By leveraging data-driven optimization algorithms, we can achieve more efficient and sustainable chemical processes. This talk will provide insights into the potential of Bayesian optimization for engineering systems.

----------------------------------------------------------------

Speakers Bios

Mayank is a dedicated scientist with a diverse skill set encompassing computer vision, biomedical engineering, machine learning, and medical physics. He earned his Master's degree in Biomedical Computing from TU Munich and completed his Bachelor's degree at the University of Hong Kong. Mayank's research primarily focuses on machine learning applications in computer vision and medical imaging, resulting in several noteworthy publications. One of his papers was recognized as among the top 10% most read papers in the years 2023-2024 by the prestigious journal Medical Physics, highlighting his contributions to the field.

Antonio del Rio Chanona is head of the Optimisation and Machine Learning for Process Systems Engineering group at the Department of Chemical Engineering, Imperial College London.

Antonio received his MEng from UNAM in Mexico, and his PhD from the University of Cambridge where he was awarded the Danckwerts-Pergamon Prize for the best doctoral thesis of his year. Antonio’s main research interests include Data-Driven Optimisation, Reinforcement Learning, Control and Hybrid Modelling applied to process systems engineering. ----------------------------------------------------------------

Code of Conduct PyData is dedicated to providing a harassment-free event experience for everyone, regardless of gender, sexual orientation, gender identity, and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of participants in any form. The PyData Code of Conduct governs this meetup. ( http://pydata.org/code-of-conduct.html ) To discuss any issues or concerns relating to the code of conduct or the behaviour of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen ([email protected]) or organizers.

PyData Cambridge - 53rd Meetup

Big PyData BBQ #5: Large Language Models 2023-09-21 · 16:00

If you like cool talks about 🧑‍🔬 Data Science, 🤖Artificial Intelligence, 🐍 coding or 🤗 community, the Big PyData BBQ is the place to be! 🔥

KÖNIGSWEG and hei_INNOVATION invite you to join the 5️⃣th edition of the annual big gathering of the PyData Südwest community. Besides talks there will be a lot of time for networking over a delicious 🥦+🍖 BBQ .

This year's topic: Large Language Models 🔥🤩

Confirmed Speakers

Ines Montani (ExplosionAI / spaCy)
Alejandro Saucedo (Director of Eng, Science, Product & Analytics Zalando / Institute for Ethical AI & Machine Learning)
Michael Gertz (Institute of Computer Science, Heidelberg University)
Alina Lenhardt (Cerence)

The event will be live streamed and published on PyDataTV.

18:00 Welcome 👋 📺 18:20 Talk Ines Montani 📺 19:00 BBQ 🍖🥦 UPDATE: 20:30 🛋️ Panel: Alejandro, Alexander, Alina, Ines, Michael 📺 UPDATE: 21:30 ⚡ Lightning Talks. 📺 UPDATE: 21:30 Networking. 🍻 UPDATE: 22:00 End. 📺 = live stream 🍖🥦, 🍻 = locally, only

About our speakers:

Ines Montani, a renowned software developer, is a co-founder of Explosion AI, a digital laboratory specializing in artificial intelligence and machine learning. She is a lead developer of spaCy, a widely used open-source library for advanced natural language processing (NLP) in Python. Together with Matthew Honnibal, she also developed Prodigy, a machine learning annotation tool that aids in the efficient creation of training data. Montani is an advocate for OSS, working tirelessly to make the fields of AI and ML more accessible.

Alejandro Saucedo is a technology entrepreneur and software engineer known for his work in machine learning and artificial intelligence. He is Director of Eng, Science, Product & Analytics at Zalando and the Chief Scientist at The Institute for Ethical AI & Machine Learning, a London-based research organization focused on developing best practices for machine learning and artificial intelligence, among others. Saucedo has a strong technical background and has worked in software development, ML and data science. He has spoken at numerous events and is promoting ethical practices in AI development

Michael Gertz is a full professor at Heidelberg University where he heads the Database Systems Research Group at the faculty of Mathematics and Computer Science. He received his diploma in Computer Science from the TU Dortmund University, and his Dr. rer. nat. from the Leibniz University of Hannover in 1996. From 1997 until 2008 he was a faculty at Department of Computer Science at the University of California at Davis. His interdisciplinary research interests include text analytics, data mining, complex networks, and scientific data management, with applications in the medical sciences, law, physics, political sciences, and economics.

Alina Lenhardt is a computational linguistat at Cerence and Program Committee Chair at PyConDE & PyData Berlin 2023.

Alexander Hendorf is one of the organizers of PyData Südwest and is heavily involved in the Python & PyData community. For him, contributing to open source and the community means giving something back, as his company Königsweg uses open source to implement Data Science & AI for its customers.

⚡️ Lightning Talks (5 min. each)

1. Alessandro Angioi - Supercharge your language learning journey with Python 2. Bela Stoyan - Automatically transform complex python methods to polars expressions 3. Irina Smirnova-Pinchukova - Croshapes - using graph to design a toy

😍 A big thank you to our sponsors:

hei_INNOVATION, for hosting the meetup.
KÖNIGSWEG, for supporting the organization.
NUMFOCUS, for promoting open source software.
Python Softwareverband e.V., for support.

Contact If you have any questions or suggestions, please feel free to contact us via:

Meetup
Want to speak? Submit a talk here.
Interested in hosting an event? Here's our Info-Deck & contact to the organisers!

Big PyData BBQ #5: Large Language Models

PyData London - 75th meetup 2023-07-04 · 18:00

Venue: 1 Angel Lane, EC4R 3AB

Please note:

🚨🚨🚨A valid photo ID is required by building security. You MUST use your full real names on your meetup profile, otherwise, you will NOT make it on the guest list! 🚨🚨🚨
This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

Tickets are assigned through a lottery draw about 1 week before the event.

If your RSVP status says "You're going" you will be able to get in. No further confirmation required. You will NOT need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.

Code of Conduct: This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.

As always, there'll be free food & drinks, generously provided by our host, Man Group.

Main Talks 1️⃣ Evaluating Distributional Forecasts - Leonidas Tsaprounis

In this talk we will focus on the metrics you can use to evaluate distributional forecasts. Distributional forecasts can be in the form of monte-carlo samples of future paths or analytical distributions and they aim to describe the full distribution for a forecasted time point. Using simple implementations with numpy and scipy we will go through the properties of different metrics like the Continuous Rank Probability Score (CRPS) and the Log Score and use them to pick the best forecasting algorithm using cross-validation.

2️⃣ How To Build Your Own Private ChatGPT Using Streamlit, LangChain & Vicuna - John Sandall

Your garden variety Large Language Model (LLM) is pretty great but comes with some downsides: no information after September 2021, and potentially insecure if you want to leverage internal documents and sensitive data, so let's build our own Vicuna-powered “ChatGPT”!

Lightning Talks ⚡ ⚡1️⃣ Open Source is Technically Illegal – Casper da Costa-Luis You are probably breaking the law.

⚡2️⃣ London Data Week – Jennifer Ding London Data Week 2023 (https://www.londondataweek.org/) runs from 3rd-9th July, a citywide festival about data to learn, create, discuss, and explore how to use data to shape our city for the better. Find out what's happening across London, from Turing Institute's data cabaret to citizen science.

Logistics Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.

PyData London - 75th meetup

Activities & events

PyData Bratislava [Python Data Enthusiasts and Users, Data Scientists & Statisticians of all levels from Slovakia]

The PyData ​Code of Conduct​ governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; [email protected]).

\|\| Data. Think. Change. \|\|

The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact the organizer or NumFOCUS Executive Director Leah Silen (+1512-222-5449; [email protected]).