[In-Person] PyLadies Dublin Mar Meetup @ LinkedIn

🆙 We are delighted to be back in LinkedIn who are hosting us this month, thanks to Katrina Enros for helping us out at short notice. 💖
NOTE: There will be no food, but tea/coffee and water is provided at the venue.

💻 Bring your own laptop (code on own project, looking for help, demo something, break out sesh with speaker, what happens at PyLadies keeps going and being awesome! 😆)

ℹ️ Announcement, slides and resources: https://github.com/pyladiesdublin/mar-talks-2024

Host:

• LinkedIn

Community Partners:

• Coding Grace
• PSF: Meetup
• PyLadies

NOTE: This won't be live-streamed.

Rough running order (subject to change):

• 17:30 Registration & settle in.
• 17:35 - 17:45 Welcome & announcements
• 17:45 - 18:30 "Efficient Deployment and Debugging of a Fine-Tuned Language Model Classifier Using Python SDK & Cloud Tools" by Samira Korani
• 18:30 - 19:00 Talks, coding & Networking
• 19:00 Event ends

TALKS
Talk 1: Efficient Deployment and Debugging of a Fine-Tuned Language Model Classifier Using Python SDK & Cloud Tools by Samira Korani
(45 mins) In the rapidly evolving landscape of artificial intelligence, deploying and debugging fine-tuned language models (LLMs) efficiently in cloud environments has become a critical skill for developers and researchers. This talk delves into the practical aspects of deploying a fine-tuned LLM classifier using Python Software Development Kit (SDK) in a cloud-based setting. We begin by exploring the fundamentals of LLMs, emphasizing the significance of fine-tuning these models to achieve enhanced performance in specific tasks. The core of the talk focuses on the deployment process. We discuss the integration of Python SDK with popular cloud platforms, providing a step-by-step guide on preparing the environment, deploying the fine-tuned LLM, and ensuring seamless integration with cloud resources. Emphasis is placed on the scalability and efficiency of deployment, catering to the needs of high-traffic applications.A significant portion of the presentation is dedicated to debugging strategies in the cloud. We address common challenges encountered during the deployment of LLM classifiers, such as performance bottlenecks, model inconsistency, and resource management issues. Practical solutions and best practices for monitoring, logging, and troubleshooting are presented, utilizing the capabilities of Python SDK and cloud tools

This session introduces the benefits of python in cybersecurity and how you can use python to solve cyber challenges.

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📢 CALL FOR SPEAKERS
Interested in speaking at our upcoming meetups in 2024 (June onwards):
https://sessionize.com/pyladies-dublin-meetup

🏢 LOOKING FOR VENUE
If your organisation has space for 25-30 people, let us know, we would like to reach out and partner with them to host our meetup.

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🔍 FAQ
Q. I'm not female, is it ok for me to attend?
A. Yes, PyLadies Dublin events are open to everyone at all levels.

Q. What do you do at PyLadies Dublin Meetups?
A. We have short (or long talks), demos, folks working on their own projects, ask questions on Python-related topics, work on projects together or generally chit-chat & meet like-minded people.

Q. Do you have a Code of Conduct?
A. Yes, you can find it at dublin.pyladies.com

Q. I am interested in giving a talk, where do I submit my interest and talk details?
A. You can submit your talk details to the following form:
https://sessionize.com/pyladies-dublin-meetup

Any other enquiries, email [dublin@pyladies.com](mailto:dublin@pyladies.com)