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Activities & events
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The unsatisfying issue of AI's environmental impact
2025-11-19 · 19:30
Martino Wong
– Content Creator
@ Oradecima; Datapizza
In a talk that has the potential to be irritating for both environmentalists and AI-optimists, we will tackle the growing concern about generative AI's environmental impact. We'll explore the energy costs of AI in an accessible way, look at what companies reveal (and don’t) and try to answer the question: is AI's energy cost an overblown issue, or should we be worried? |
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From OpenAI to DeepSeek: New Scaling Laws for LLMs that can Reason
2025-11-19 · 19:00
Luca Baggi
– AI Engineer
@ xtream
With o1, OpenAI ushered a new era: LLMs with reasoning capabilities. This new breed of models broadened the concept of scaling laws, shifting focus from train-time to inference-time compute. But how do these models work? What does "inference-time compute" exactly mean? What data do we use to train these new models? And finally - and perhaps more importantly: how expensive can they get, and what can we use them for? |
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Python 3.14 (or "π-thon" for real nerd pythonists)
2025-11-19 · 18:40
Alssandro Pappalettera
– Senior Software Engineer
@ Neosperience
Python 3.14, a brave new version of the language, tries to embrace perfection. It moves us one step forward into the free-threaded era where nothing is (globally) locked anymore. Let's see together where we are so far and where we can go further! |
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Jaeger Advisor: How I built my own personal TripAdvisor in just half a day
2025-11-19 · 18:30
Andrea Rosati
– Software developer
@ Screevo
In half a day, I built a personal TripAdvisor by linking Notion to Google My Maps. I can save, tag, and rate places in Notion and see them instantly on a custom map, keeping full control of my data without relying on external platforms. |
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PyData Rome, 9th Meeting, 21st January 2025
2025-01-21 · 17:30
PyData Roma - 9th Meetup! 🎉 Let's pick up where we left off and continue our mission to make Rome a fantastic place for software engineering and data science. The presentations for this event will be announced soon. You could be the next speaker for a future event. If you have a presentation, some interesting code, or an open problem you'd like to discuss with the community, compile the form and let us know! (Proposals can be in English or Italian, whatever makes you comfortable.) Location: Via di Santa Prassede 24 Date: January 21st 2025 Schedule:
Here is a short description of the two presentations: 1. Notion2Pandas - A new python package to import Notion Database into Pandas framework and vice-versa A few months ago, I developed this Python package, notion2pandas, to simplify working with Notion databases using Notion's official API. I’d like not only to introduce the package but also to share my experience building a Python package from scratch and outline the roadmap for its future development. 2. Beyond Deployment: Harnessing Open-Source Tools for Continuous Model Monitoring and Reliability Model monitoring is an essential yet frequently undervalued aspect of machine learning operations. Many organizations focus heavily on the development and deployment of models but often neglect the ongoing evaluation of their performance in production. This oversight can lead to issues such as model drift, reduced accuracy, and a lack of trust in automated decisions. Effective model monitoring ensures that predictions remain accurate and aligned with real-world conditions, fostering transparency and reliability. This presentation introduces a streamlined process for evaluating machine learning models over time, utilizing open-source, Python-based tools such as Label Studio for manual annotations, Evidently for generating performance reports, and Streamlit for building intuitive report dashboards. The system automates key steps, including sampling and annotating data, generating detailed metrics, and visualizing results. Central to this workflow is a scheduler built with Apache Airflow, orchestrating tasks like data import, annotation validation, and report generation. Attendees will gain insights into the importance of model monitoring, discover a scalable framework for maintaining model accuracy, and learn how open-source tools can facilitate transparency and accountability in machine learning systems. Sign Up! Space is limited, so RSVP today to secure your spot! Please note: Remember to RSVP using your full name for security reasons and bring a valid ID to show at the entrance. If you can't attend, please let us know at least 2 days in advance so you can free spots for people on the waiting list. We look forward to seeing you there! 🙌 |
PyData Rome, 9th Meeting, 21st January 2025
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