Name: Generative AI: PEFT and RLHF workflows + Polars: new blazing-fast dataframe
Start: 2023-06-19T09:00:00-07:00
End: 2023-06-19T10:00:00-07:00
Location: Online - See Details Below

RSVP Webinar: [https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154](https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154)

**Talk #0: Introductions and Meetup Announcements**
By Chris Fregly and Antje Barth, Principal Developer Advocates, AI and machine learning @ AWS

**Talk #1: Getting started with Polars (when Dataframe gets little too fast)**
By Suman Debnath, Principal Developer Advocate, Data Engineering @ AWS

**Abstract:** Polars, the fast-growing open source dataframe library, is rapidly becoming the preferred choice for data scientists and data engineers in Python. With its remarkable performance and intuitive syntax, Polars is poised to challenge the dominance of Pandas in the realm of Python dataframes. While Pandas is widely adopted, it has limitations in terms of performance and syntax. Enter Polars, a powerful in-memory library built with Rust and leveraging Arrow. In this session, we will explore the fundamentals of Polars and discover how it achieves blazing-fast operations with its own lazy approach in an intuitive Python API. It’s time to embrace the potential of Polars and revolutionize your data manipulation experience.

GitHub: [https://github.com/pola-rs/polars](https://github.com/pola-rs/polars)

**Talk #2: Deep dive into Generative AI Parameter Efficient Fine Tuning (PEFT), Prompt Tuning, and Reinforcement Learning with Human Feedback (RLHF) workflows**
By Chris Fregly, Principal Solutions Architect, AI and machine learning @ AWS

RSVP Webinar: [https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154](https://www.eventbrite.com/e/webinarkubeflow-tensorflow-tfx-pytorch-gpu-spark-ml-amazonsagemaker-tickets-45852865154)

Zoom link: [https://us02web.zoom.us/j/82308186562](https://us02web.zoom.us/j/82308186562)

**Related Links**
O'Reilly Book: [https://www.amazon.com/dp/1492079391/](https://www.amazon.com/dp/1492079391/)
Website: [https://datascienceonaws.com](https://datascienceonaws.com/)
Meetup: [https://meetup.datascienceonaws.com](https://meetup.datascienceonaws.com/)
GitHub Repo: [https://github.com/data-science-on-aws/](https://github.com/data-science-on-aws/)
YouTube: [https://youtube.datascienceonaws.com](https://youtube.datascienceonaws.com/)
Slideshare: [https://slideshare.datascienceonaws.com](https://slideshare.datascienceonaws.com/)

Antje Barth

Chris Fregly

AI Performance Engineering Meetup (San Francisco, Global)

Technology

Predictive Analytics

High Scalability Computing

Artificial Intelligence Programming

Artificial Intelligence Applications

Apache Spark

Data Science

Machine Learning

TensorFlow

Big Data

Deep Learning

Neural Networks

Artificial Intelligence

Natural Language Processing

Kubernetes

PyTorch

Generative AI: PEFT and RLHF workflows + Polars: new blazing-fast dataframe

Online - See Details Below

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Generative AI: PEFT and RLHF workflows + Polars: new blazing-fast dataframe

AI Performance Engineering Meetup (San Francisco, Global)

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