PyMunich & PyLadies June Bash @TNG: RAG applications, and why using Python?
Details
Embarking on an exciting collaboration, PyMunich & PyLadies join forces with TNG Technology Consulting GmbH Munich for our June Meetup Event. Together, we'll unlock fresh Python perspectives in TNG's dynamic, high-end meeting spaces. ✨ Join us for an evening brimming with innovation and exploration, as we navigate through the latest in Python technology and foster new pathways for growth.
Hybrid meetup, in person or online on YouTube
🎥 https://bit.ly/pymunichinjune
Join us for an insightful session with our expert speakers! Listen to Fabian, who will discuss improving Python and deliver arguments why we love it. Nithish will dive into Retrieval Augmented Generation (RAG), and last but not least, Mai will explore evaluating RAG applications with Phoenix🐍 🚀
Agenda:
⏰ 6:30 pm
🎊 Arrive, eat, drink and mingle
⏰ 7:15 pm
🎊 Welcome & Intro
⏰ 7:30 pm
🤖 Fabian Klemm, TNG
🎤 Let's make Python better: The most awesome "Hello, World!" - As Python enthusiasts, we're all in a day-to-day struggle to explain ourselves: Why would you use Python? It's not even compiled, just dumb line-by-line interpretation! Can't you just do this in Rust? This talk aims to provide us with the holy grail of arguments in those discussions: We adapt (C)Python, so it has the best "Hello, World!" of all! The talk will fail miserably in doing so. However, it should give some rudimentary insights into the fundamentals of Python: What happens to my code during execution? What is Python Byte-Code? What does the Python Virtual Machine do?
📖 Fabian is a Senior Software Consultant at TNG. Before transitioning to IT in 2020, he completed his doctorate in mathematics at TU Munich. At TNG, he has contributed to various projects as software or DevOps engineer, and furthermore works on several internal projects. Throughout his programming career, Python has been his go-to tool when it comes to writing helper scripts, automations, APIs, or sometimes even full applications.
⏰ 7:50 pm
🤖 Nithish Raghunandanan, Couchbase
🎤 “Intro to Retrieval Augmented Generation (RAG)” - We have seen how AI tools like ChatGPT & Github Copilot hallucinate with some really convincing answers. In this talk, we can learn how to reduce these hallucinations by using a technique of combining AI chatbots with authoritative knowledge using open-source libraries like LangChain & LlamaIndex with the help of demos. The talk will offer practical tips on how to use AI with vector search and vector embedding to make searches more meaningful, intuitive, and tailored to user needs.
📖 Nithish is a Developer Advocate at Couchbase who loves to build products that solve real-world problems in short spans of time. He likes to travel and interact and engage with the tech community through Meetups & Hackathons.
⏰ 8:10 pm
🍻 Beer Break
⏰ 8:30 pm
🤖 Mai Phuong Mai, inovex GmbH
🎤 “Evaluating RAG applications with Phoenix” - Retrieval Augmented Generation (RAG) has emerged as a popular design pattern for LLM applications, revolutionizing industry use cases. With a dynamic model and backend landscape, evaluating the answer quality of RAG pipelines is crucial in order to address issues like hallucination or irrelevance. This talk will guide you through the evaluation process and its current challenges, delving into key drivers, observability and metrics. For visualization, we will have a look at Phoenix (https://phoenix.arize.com/), an open-source library to facilitate tracing and evaluation.
📖 Mai is a machine learning engineer at inovex and advises customers on the development of data-based products and AI solutions. She focuses on development with language models and responsible AI.
⏰8:50 pm
🍻 Drinks & Networking
⚠️ Please be aware that the entire road towards TNG is a no parking zone 🚫 However, there is a multi-storey car park in Dieselstrasse, which is very close to the venue.
We can't wait to dive into this adventure with you!
PyMunich & PyLadies June Bash @TNG: RAG applications, and why using Python?