Sessions' List
(PyLadies Pane) Reflecting Within: Challenging Narratives in Tech Feminism
Paloma Oliveira
Join us for the PyLadies Panel at the conference in Berlin, it will be great!
(Un)leashed potential of AI in Government
Rosa Marie Keller
As the world is being reshaped through the rise of advanced AI technologies, governments seek their place in the arena. This talk explores how German government institutions adapt to these changes by focusing on three key areas of action: Adoption, Regulation, and Up-/Reskilling.
525 days working full-time on FOSS: lessons learned
Rodrigo Girão Serrão
Rodrigo has been working full-time on FOSS for 525. Join him as he shares some of the key lessons he learned during that time.
A conceptual and practical introduction to Hilbert Space Gaussian Process (HSGP) approximation methods
Dr. Juan Orduz
In this talk, we explore a new method to approximate Gaussian processes using spectral analysis methods, known as the Hilbert Space Gaussian process (HSGP) approximation.
A deep dive into the Arrow Columnar format with pyarrow and nanoarrow
Joris Van den Bossche, Raúl Cumplido, Alenka Frim
Apache Arrow has become a de-facto standard for efficient in-memory columnar data representation. But what is this format exactly? This tutorial will dive deep into the details of the Arrow columnar format and explore interactively the different types and buffer layouts.
A Retrieval Augmented Generation system to query the scikit-learn documentation
Guillaume Lemaitre
A Retrieval Augmented Generation system to query the scikit-learn documentation
Acknowledging Women’s Contributions in the Python Community Through Podcast
Cheuk Ting Ho, Tereza Iofciu
In the Python podcast community, women are still underrepresented, making up only 17% of invited guests among the popular podcast series. We’ll share how you can further help out cause in improving representation and diversity in the Python community.
Advanced Observability with OpenTelemetry and Python
Anton Caceres
Facing observability challenges in Python microservices? 🐍 ☁️ Learn how #OpenTelemetry can streamline your system monitoring in cloud environments. We're diving into its Python SDK integration, showcasing real-world implementation for enhanced efficiency.
Analyzing COVID-19 Protest Movements: A Multidimensional Approach Using Geo-Social Media Data
Nefta Kanilmaz
Understanding protest movements through multi-dimensional geo-social media data analysis.
Async Awaits: Mastering Asynchronous Python in FastAPI
Bojan Miletic
Gear up for 'Async Awaits: Mastering Asynchronous Python in FastAPI' 🚀. Discover the power of async/await in #Python and learn how to supercharge your web apps with #FastAPI. Perfect for developers eager to excel in modern web development! 🌐 #TechTalk #AsyncPython #WebDev
AsyncApp. My contribution to hype Pythons asyncio a bit more
Jens Nie
Asyncio based code is still not the go-to solution for many when starting new Python projects. Let me show you a simple and attractive asyncio based approach for console applications to address that.
Best of both worlds - How we built an AI-aided content creation tool for language learning
Lea Petters, Hector Hernandez
Dive into the fusion of human intelligence & AI at Babbel! Explore our journey in crafting an AI-aided content creation tool for personalized language learning. #LanguageLearning #AI #LLMs
Better safe than sorry: Threat Modeling for Python Developers
Clemens Hübner
Is your code secure enough? Find out by doing Threat Modeling!
Better search relevance using Learning to Rank at mobile.de
Manish Saraswat
This talk will discuss our current search relevance ranking framework and how it ranks millions of searches daily.
Beyond Deployment: Exploring Machine Learning Inference Architectures and Patterns
Tim Elfrink
"Beyond Deployment: Exploring Machine Learning Inference Architectures and Patterns" - uncover the ML inference strategies that power StepStone's success and learn to scale your models with confidence!
Boost your app to Flash speed by mastering performance tricks
Laysa Uchoa, Yuliia Barabash
If you're keen to move beyond basic optimizations and truly understand what happens under Python's hood during application execution, this session is for you.Boost your app to Flash speed by mastering performance tricks by @laysauchoa and @yuliia_barabash
Boost your Data Science skills with the new Python in Excel
Valerio Maggio
Do you know that you can now run Python directly into Excel ? Come to my tutorial to know more, and to boost your data analytics skills!
Breaking AI Boundaries: Fairness Metrics in Unstructured Data Domains
Daniel Klitzke
Exploring the need for fairness in machine learning in indirect human impact areas, proposing solutions for challenges in unstructured data.
Bridging the Gap: From Analytical Models to Operational Success
Ignacio Vergara, Nick Harmening
Putting ML models in productions is not as simple as it sounds. Learn how we bridge the chasm between analytics and production.
Bridging the worlds: pixi reimplements pip and conda in Rust
Wolf Vollprecht, Ruben Arts
pixi is an awesome new package manager that combines the power of conda & pip.
Build a personalized Bitcoin (BTC) virtual assistant in Python with Hopsworks and LLM function calling
Javier de la Rúa Martínez
TDB ------------------------------------------------------------------------------------
Build an AI Document Inquiry Chat with Offline LLMs
Pavithra Eswaramoorthy, Philip Meier
In this hands-on tutorial, we'll build an LLM-powered document inquiry chat application that uses Retrieval-Augmented Generation (RAG) for more accurate results. We'll test different LLMs, run an offline LLM on GPUs, and demonstrate a fully functional web app.
Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks
Jim Dowling
The real-time recommendations engine, Monolith, in Tiktok is so good it has been described as "digital crack". In 1 hr, we will build Monolith in Python as 3 ML pipelines that run on Hopsworks .
Building accessible documentation sites
Dr. Tania Allard
Come learn how you can make your tools and documentation more accessible and usable by disabled end-users and contributors
Building Professional Voice AI with Vocode
Lev Konstantinovskiy
Meet Vocode, an open-source framework for AI voice agents. We'll cover its integration of speech APIs, LLMs, and conversation etiquette in real-world applications. #OpenSource #AI #VoiceAgents
Bulletproof Python - Property-Based Testing with Hypothesis
Michael Seifert
Less is more! Rather than working harder and write more test code, property-based testing forces you to work smarter and cover more cases with fewer tests. Join Michael for his Tutorial "Bulletproof Python - Property-Based Testing with Hypothesis"
Can ChatGPT convince you to get a COVID19 vaccine? Comparing ChatGPT to an expert system - which one is more convincing?
Dr. Lisa Andreevna Chalaguine
Comparison between ChatGPT and Domain-Specific Expert System - which is more convincing in getting people to vaccinate against COVID-19?
Climate Crisis in Numbers
Robert Meyer
Climate Crisis is Numbers: A data nerd's guide to global warming
Cloud? No Thanks! I’m Gonna Run GenAI on My AI PC
Adrian Boguszewski, Dmitriy Pastushenkov
Join this talk to learn that cloud is no longer needed for GenAI. All you need is an AI PC.
Community Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
Florian Wilhelm, Alexander CS Hendorf, Valentina Scipione, Lais Carvalho
Joins us for Community Conferences under the Hood. Perspectives and Best Practices in Volunteer Organization
Connecting batteries with Python: Towards EV Charging with #zero emissions at #zero costs
Christopher Bock
Learn how Python helps us at The Mobility House in integrating EV batteries into the power grid, enabling further use and growth of renewable energies, stabilizing power grids and enhancing the accessibility of electric mobility.
Content Recommendation with Graphs: From Basic Walks to Neural Networks
Dr. Mirza Klimenta
Content Recommendation with Graphs: From Basic Walks to Neural Networks
Data valuation for machine learning
Miguel de Benito Delgado
pyDVL is the library for data valuation in machine learning. Use it to clean, prune and select your data to improve model performance.
DDataflow: An open-source end-to-end testing framework for ML pipelines
Theodore Meynard, Jean Machado
Explore our talk on DDataflow, a tool transforming ML pipeline testing. It streamlines the process with decentralized data sampling, tackling prolonged development and latent errors in large, complex datasets.
Deploying your Python application to Android
Shyamnath Premnadh
Current state of deploying Python applications to Android with a comparison of the current available frameworks.
Django loves strawberries
Arthur Bayr
Explore the dynamic duo of GraphQL Strawberry and Django in an immersive workshop! Discover the seamless integration of Strawberry with Django, mastering type definitions, queries and mutations.
Documenting R&D Progress using jupyter-book - and feel safe for the next performance audit
Jens Nie
Rosenxt has just been founded, yet we're already very busy to create the next best thing. Let me show you how we create our R&D progress using the jupyter-book ecosystem to be safe for the next performance audit.
Encoding Charactersets - may the force be with you
Martin Hoermann
Understanding and repairing garbled text (Mojibake) with Python
Enhance your balcony power plant with Python
Jannis Lübbe
Improve the efficiency of your balcony power plant with Python
Everything you need to know about change-point detection
Charles Truong
How do you detect an activity change from smartwatch data, abrupt climate transitions, or server failures? If you work with long time series, you will inevitably have to detect changes. This talk describes how to do that using ruptures (https://github.com/deepcharles/ruptures).
Exploring Zarr: From Fundamentals to Version 3.0 and Beyond
Sanket Verma
Hi all! I’ll discuss Zarr, an open-source data format for storing chunked, compressed N-dimensional arrays. We’ll explore the Zarr ecosystem from fundamentals to V3.0 and beyond. If you’re interested in storing massive datasets, please attend my talk. Thanks!
Flix CitySnap: How we use GenAI and not only to collect captivating images for cities and confirm their locations
Andrei Chernov
Unlocking City Charisma: Leveraging Generative AI for Automated Image Collection and Elevated Customer Experience 🌟 Dive into Flix's innovative approach
From idea to production in a day: Leveraging Azure ML and Streamlit to build and user test machine learning ideas quickly
Florian Roscheck
How to leverage Azure ML, automated machine learning, and Streamlit to build and test machine learning apps quickly? Find out about our favorite Hackathon stack and walk away with some code to build and user-test your own machine learning ideas fast.
From LLM as oracle to LLM as translator - our journey from theory to everyday’s practice in a corporate setting with dmGPT (and python)
Emma Haley, Niklas Lederer
Learn how dm-drogeriemarkt put LLMs in production and implemented a day-to-day assistant for everyone.
Functional Python
Mike Müller
Learn how to integrate functional features into your daily Python programming.
Going beyond Parquet's default settings – be surprised what you can get
Uwe L. Korn
Only ever used pandas.to_parquet? Would you like to know what it does and how you could make it even more efficient? Find out about Parquet's newest features in this talk.
Haystack 2.0: the story of a rewrite
Silvano Cerza
To rewrite or not to rewrite, that is the question. Come and find out why we decided to rewrite Haystack from scratch to make it the best AI framework in the world!
High Performance Data Visualization for the Web
Tim Paine
Building a high performance streaming data website with Perspective
How Python helped us uncover secrets of protein motion
Zoran Štefanić, Boris Gomaz
Uncovering protein motion by leveraging awsome Python tools.
How to Do Monolingual, Multilingual, and Cross-lingual Text Classification in April, 2024
Daryna Dementieva
If I want a text classifier in 2024, what should I choose -- LLMs or pre-LLM era classifier? Is the answer the same for English and other languages? We will provide the recipe how to find your classifier depending on the target language and data availability.
How to embrace your Leadership role as a Data Nerd (or other creative types)
Paula Gonzalez Avalos
Is it possible to find a Leadership role rewarding as a creative hands-on work driven person? In this talk I’ll talk about my journey from Data Scientist into management and how - after a transition period - I learned to embraced and ultimately really like the new Head roles.
How to Improve the Python Development Experience for Millions of Ubuntu Users
Jürgen Gmach
Have you ever tried to install a different Python version on Ubuntu or tried to upgrade your current one? This talk will explain why this is hard, and introduce the available options in-depth, and give an outlook what Ubuntu could do in the future to make our lives easier.
I achieved peak performance in python, here's how ...
Dishant Sethi
In the ever-evolving landscape of software development, crafting code that not only functions flawlessly but also operates at peak performance is a skill that sets exceptional developers apart. This talk delves into the art of optimizing Python code, exploring techniques and stra
Improve LLM-based Applications with Fallback Mechanisms
Bilge Yücel
RAG handles common issues in LLM applications, but a dependable system requires one more step: a fallback mechanism. Explore the implementation of LLM applications with diverse fallback techniques using Haystack in Bilge's insightful talk.
Is GenAI All You Need to Classify Text? Some Learnings from the Trenches
Marc Palyart, Kateryna Budzyak
GenAI is sometimes touted as the panacea for all natural language processing (NLP) tasks. This presentation explores a practical text classification scenario at Malt, highlighting the practical hurdles encountered when employing GenAI and how we overcame these obstacles.
Jupyter Notebooks for Print Media
Tim Paine
Jupyter Notebooks as a platform to create books, magazine and newspaper articles, and other print media
Keynote - A View From My Window - An Outside Perspective of Open Source Scientific Computing From the Inside
Leah Silen
A View From My Window - An Outside Perspective of Open Source Scientific Computing From the Inside
Keynote - Safe Space or Trap? Creating Software like DuckDB in Academic Institutions
Hannes Mühleisen
In my talk, I will discuss DuckDB, its origins, and the unique benefits and challenges of maintaining popular software in an academic setting.
Keynote - Ten Key Questions that a Company Should Ask to have Responsible AI
Ricardo Baeza-Yates
Ten Key Questions that a Company Should Ask to have Responsible AI
Keynote - The art and science of tending open source orchards
Inessa Pawson
Behind every large OSS project is a resilient contributor community. Is there a blueprint for it? How about a script for scaling or a formula for contributor retention? In this talk, Inessa shares her insight on the art and science of fostering resilient communities.
Lessons learned from deploying Machine Learning in an old-fashioned heavy industry
Robert Meyer
Cement is responsible for about 8% of worldwide carbon emissions. Let me tell you about lessons learned decarbonizing the industry with Machine Learning.
Leveraging the Art of Parallel Unit Testing in Django
Azan Bin Zahid, Syed Ansab Waqar Gillani
Unlocking the power of parallel unit testing with Python and Django! 🚀
Lose your fear of equations!
Darina Goldin
Learn to read equations like an engineer and lose your fear of math
Machine Learning on microcontrollers using MicroPython and emlearn
Jon Nordby
Deploy ML models to microcontrollers - using just the Python you already know! A practical presentation on how to use the emlearn Machine Learning package and MicroPython to build smart sensor systems.
Marketing Media Mix Models with Python & PyMC: a Case Study
Emanuele Fabbiani
Discover how Italy's fastest-growing tour operator unlocked transformative marketing insights using Bayesian models, domain knowledge, Python, and PyMC. Gain valuable tips to develop similar models for your business.
Missing Data, Bayesian Imputation and People Analytics with PyMC
Nathaniel Forde
Hierarchical structures are everywhere in business! Ever wondered how trickle-down management missteps drive non-response bias in Employee Engagement? Model the hierarchy, model the missing-ness with PyMC!
Mojo 🔥 - Is it Python's faster cousin or just hype?
Jamie Coombes
"Chris Lattner's Mojo promised to revolutionize AI dev with 68k times speed & Python ease. One year later, we dissect its reality—can it outshine Rust & Julia, or is it just hype? #PyData #MojoLanguage #PythonCousin"
Mostly Harmless Fixed Effects Regression in Python with PyFixest
Alexander Fischer
"Discover PyFixest, a Python library inspired by R's 'fixest'! 🐍📊 It speeds up regression model estimation with high-dimensional fixed effects, offering tools for robust inference and efficient post-processing. Perfect for AB Tests and event studies! #Python #DataScience #PyDat
Moving from Offline to Online Machine Learning with River
Tun Shwe
Learn the differences between online and offline ML and get started on your online ML journey today with River, an open source Python ML library
Next Stop: Insights! How Streamlit and Snowflake Power Up Data Stories
Marie-Kristin Wirsching
Data stories are the bridge between complex data insights and business impact! Transforming data into clear, actionable narratives is no easy task. That's where Streamlit and Snowflake come in - a duo for creating visually engaging, interactive data applications.
No More Raw SQL: SQLAlchemy, ORMs & asyncio
Aya Elsayed, Rhythm Patel
Learn how to use SQLAlchemy, a powerful SQL toolkit, to interact with your database. Leverage SQLAlchemy’s Object Relational Mapper (ORM) system, and explore SQLAlchemy’s asyncio extension for your async services.
Pandas + Dask DataFrame 2.0 - Comparison to Spark, DuckDB and Polars
Florian Jetter, Patrick Hoefler
Dask DataFrame is fast now - The re-implementation of DataFrames in Dask is fast, reliable and fun.
Performant, scientific computation in Python and Rust
Stefan Ulbrich
A tutorial session on how to build scientific package for numerical calculus algorithm in Python and Rust.
Personalizing Carousel Ranking on Wolt's Discovery Page: A Hierarchical Multi-Armed Bandit Approach
Marcel Kurovski, Steffen Klempau
Personalizing Carousel Ranking on Wolt's Discovery Page with a Hierarchical Multi-Armed Bandit Approach
Polars and Time Series: what it can do, and how to overcome any limitation
Marco Gorelli
Learn how to use Polars for time series: what it does, and it doesn't do (and what to do about that!)
Power structures. The fair advantage
Anja Kunkel
Humans are complex. As developers, we wanna ignore that ... but to do our job right, we cannot.
Prescriptive Analytics in the Python Ecosystem with Gurobi
Robert Luce
Learn how to do Prescriptive Analytics in the Python Ecosystem with Gurobi
Public Money, Public Experiment - open source processes in the public administration
Lisa Reiber
Imagine a data lab in a federal ministry wants to publish code and share it - how long could it possibly take? Take a guess and come to the talk to find out.
Put your RAG to the test: Component-per-component evaluation of our LLM-powered airplane manufacturing assistant
Nataliia Kees
This talk discusses the topic of component-wise evaluation of RAG-based applications on the example of the airplane manufacturing assistant developed at Airbus using open source Python libraries paired with Google Vertex AI.
PyCon Community Backstage: A Decade of Camaraderie, Growth, and Lessons Learned
Alexander CS Hendorf
A joyful journey through a decade in the Python community: contributing, leadership, magic, personal and professional growth!
PyO3 101 - Writing Python modules in Rust
Cheuk Ting Ho
In this interactive workshop, we will cover the very basics of using PyO3. There will be hands-on exercises to go from how to set up the project environment to writing a "toy" Python library written in Rust using PyO3.
pytest tips and tricks for a better testsuite
Florian Bruhin
pytest lets you write simple tests fast - but also scales to very complex scenarios: Beyond the basics of no-boilerplate test functions, this training will show various intermediate/advanced features, as well as gems and tricks.
Python 3.12's new monitoring and debugging API
Johannes Bechberger
Python 3.12 got a new debugging and monitoring API. Learn in this talk why it will change debugging forever.
Python Monorepos: The Polylith Developer Experience
David Vujic
What if writing software would be more like building with LEGO bricks, and have a more playful developer experience. Polylith solves this in a nice and simple way. I’ll walk through the simple Architecture & the Developer friendly tooling for a joyful Python Experience.
RAG for a medical company: the technical and product challenges
Noé Achache
While developing a Proof-Of-Concept RAG is widely accessible, creating a performant version that truly adds value remains a challenge. We willl share our learnings from building a RAG for a medical company, aiding doctors with drug documentation.
Refactoring Large Programs
Dr. Kristian Rother
Refactor a large Python program that is undocumented, unstructured and untested
Reinforcement Learning: Bridging The Gap Between Research and Applications
Michael Panchenko
Reinforcement learning (RL) has untapped potential for industry. This talk presents Tianshou, an open-source library with interfaces facilitating both industrial RL applications and new algorithm research, with the dual goals of accelerating progress and adoption.
Replacing Callbacks with Generators: A Case Study in Computer-Assisted Live Music
Matthieu Amiguet
How we made our code more readable by replacing intricated callback-based code with much more readable generators. Also a great example of using python in an unexpected domain: realtime audio processing for live music!
Robust Configuration Management with Pydantic's Data Validation
Philipp Stephan
How Pydantic's strong data validation based on type annotations can help build a strict spec for your configuration format, catch misconfiguration early, and mitigate the aforementioned problems with a non-formalized configuration management system.
Safeguarding Privacy and Mitigating Vulnerabilities: Navigating Security Challenges in Generative AI
John Robert
How to protect and secure your data will using LLM and Generative AI. Your data privacy and security is importance.
Securing Python: Race Condition Vulnerabilities
Shahriyar Rzayev
Explore and secure Python code against race condition vulnerabilities
Select ML from Databases
Gregor Bauer
Select ML from Databases: New workflow for building your machine learning models using the capabilities of modern databases
Streamlining Python Development: A Guide to a Modern Project Setup
Florian Wilhelm
🚀 Streamlining Python Development: A Guide to a Modern Project Setup. We'll explore tools like Hatch, mypy, and ruff, and dive into efficient project setups. Perfect for Python beginners!
Streamlining Python Development: A Practical Approach to CI/CD with GitHub Actions
Artem Kislovskiy
Learn how continuous integration/delivery boosts project resilience to Python updates and packaging changes. Automate for peace of mind, better code, and seamless collaboration.
Tackling the Cold Start Challenge in Demand Forecasting
Alexander Meier, Daria Mokrytska
Exploring the Cold Start problem in Demand Forecasting. Overcoming difficulties faced by Time Series and ML models. Uncover practical techniques and a systematic evaluation framework for effective forecasting.
Tailored and Trending: Key learnings from 3 years of news recommendations
Dr. Christian Leschinski
Diving into the world of recommendations! Learn how we overcome the special challenges of recommending news at Axel Springer NMT by using simple statistics.
That’s it?! Dealing with unexpected data problems
Simon Pressler
That’s it?! How to deal with unexpected data quality and quantity issues
The AI Revolution Will Not Be Monopolized: How open-source beats economies of scale, even for LLMs
Ines Montani
Are we heading further into a black box era with larger and larger models, obscured behind APIs controlled by big tech monopolies? I don’t think so, and in this talk, I’ll show you why.
The evolution of Feature Stores
Olamilekan Wahab
Feature Stores have become an important component of the machine learning lifecycle. They have been particularly pivotal in bridging the gap between data engineering and machine learning workflows(experimentation, training and serving). This talk will explore Feature Stores with
The key to reliability - Testing in the field of ML-Ops
Gunar Maiwald, Tobias Senst
idealo.de presents its holistic approach for testing in machine learning
The pragmatic Pythonic data engineer
Robson Junior
Learn to make practical decisions in data engineering with Python's vast ecosystem. Avoid blindly following market guidelines and consider the reality of your situation for better performance and architecture
The Secret Life of Metaclasses
Luciano Ramalho, Leonardo Rochael Almeida
The secret life of Metaclasses, a tour of Python metaprogramming concepts for novices
The Struggles We Skipped: Data Engineering for the TikTok Generation
Anuun, Hiba Jamal
A new wave in data engineering! From tangled tasks to sleek, plug-and-play magic in data pipelines. 🚀
There is a Better Way to Automate and Manage Your (Fluid) Simulations
Julian Wagenschütz
Exploring the integration of Python into Computer Aided Engineering (CAE) workflows: While shell scripts are ubiquitous, they face challenges in CAE, particularly in Computational Fluid Dynamics (CFD). Python + DVC provides a robust alternative to manage simulations at scale.
Time series anomaly detection with a human-in-the-loop
Philipp Millet
In the cross-industry wide trend towards industry 4.0 solutions, the amount of gathered sensor data is ever growing. Through the sheer amount of data, manual or human-based monitoring of the collected time series data becomes cumbersome if not even impossible.
Unleashing Confidence in SQL Development through Unit Testing
Tobias Lampert
Confidently ship changes to your SQL data model by validating logic with a SQL unit testing framework. Our framework, powered by pytest, ensures robust deployments, making data model evolution a breeze.
Unlock the Power of Dev Containers: Build a Consistent Python Development Environment in Seconds!
Thomas Fraunholz
Unlock the Power of Dev Containers: Say goodbye to the hassle and build a Consistent Python Development Environment in Seconds!
Using LLMs to Create Knowledge Graphs From a Large Corpus of Parliamentary Debates
Usman
This talk demonstrates how we can intuitively analyze political debates using knowledge graphs created using LLMs.
Using ML to find out the "Why"? A Tutorial in Causal Machine Learning
Oliver Schacht, Jan Teichert-Kluge
Tutorial on Causal Machine Learning by the developers of the DoubleML package for Python. Learn how to address "Why?" questions with ML! https://docs.doubleml.org/stable/index.html #Causality #CausalML #DoubleML #CausalInference
When and how to start coding with kids
Anna-Lena Popkes
Have you always wondered when and how to start coding with your kid? This talk will shed light on all your questions, giving concrete advice on how to get started.
Which kind of software tests do I really need?
Pascal Puchtler
Explore a variety of software testing methodologies, from Manual and A/B Testing to Unit and Performance Tests. Learn how to make informed decisions for enhanced software delivery, matching the unique needs of your projects.
Whispered Secrets: Building An Open-Source Tool To Live Transcribe & Summarize Conversations
John Sandall
🕵️ Calling all Spythonistas: Do you need a live speech transcription and summarization "secret agent" that works offline by running on your own hardware? Learn about the latest trends in open-source GenAI tools and how to build your own in this light-hearted talk.
Would you rely on ChatGPT to dial 911? A talk on balancing determinism and probabilism in production machine learning systems
Nicolas Guenon des Mesnards
Combining deterministic and probabilistic models to boost ML system robustness. Learn their benefits and applications in AI, backed by NLP case studies. #AIInnovation #MLTech #RobustAI
You shall not pass! 🧙 Strengthen your python code against attacks.
Antonia Scherz, Roman Krafft
You shall not pass! Make your Python code strong against attacks.
Your Model _Probably_ Memorized the Training Data
Katharine Jarmul
So, just how much data did ChatGPT memorize? Let's find out!
µDjango, an asynchronous microservices technique.
Maxim Danilov
Django - the new trend in creating asynchronous Python microservices.
🌳 The taller the tree, the harder the fall. Determining tree height from space using Deep Learning and very high resolution satellite imagery 🛰️
Ferdinand Schenck
🌳 The taller the tree, the harder the fall. Measuring tree height from space using Deep Learning 🛰️