Python talk night at F5 Networks

Seattle — United States

Python talk night at F5 Networks

When

11/18/2026, 12:00:00 AM

Where

801 5th Ave, Seattle, WA 98104, Seattle, WA, Seattle, WA, us

About

Join us for an exciting Talk Night at F5 Network's Downtown Seattle office! Agenda: 5:30-6pm: Doors open/networking 6-6:10pm: Opening remarks 6:10-6:25pm: Lightning talk 6:25-6:50pm: Talk #1 6:50-7:05pm: Intermission 7:05-7:30pm: Talk #2 7:30-7:40pm: Closing remarks After party to follow at Owl N' Thistle (808 Post Ave, Seattle, WA 98104) What we'll do: This event will feature the following presentations: Lightning talk: Transformation Bias in Machine Learning Speaker: Brandon Sherman Description: We’ve all been there - you fit a model to predict log(y), but you want the predictions on the original untransformed scale. Unfortunately, exponentiating the prediction will systematically underestimate the expected value of Y! This is transformation bias. In this talk, I’ll discuss why transformation bias is a mathematical guarantee in this setting, and will walk through several approaches for correcting it. Talk #1: Beyond the Prompt: The Frontier of AI Coding Speaker: Tyrell Towle Description: AI is transforming software development, but generating code is only the beginning. Modern coding agents can navigate repositories, write and execute programs, test their work, and tackle increasingly complex projects. Yet significant challenges remain in reliability, context management, autonomous execution, and verifying the correctness of AI-generated software. This presentation explores the current state of AI-assisted programming, recent research into coding agents and their supporting harnesses, and emerging approaches to overcoming their limitations. We'll examine challenges in long-running development tasks, agent orchestration, and the evaluation of coding performance. We'll also discuss practical tools and techniques for improving AI-assisted development, including structured coding workflows, independent verification, and running local language models with llama.cpp. Examples will illustrate how these technologies can be applied to real-world software development a

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