Building Applications on Top of Large Language Models (LLMs) (Part 1)

Presented by: Nilanjan Raychaudhuri, BJ Allmon

It’s no secret that a new generation of powerful and highly-scaled language models is taking the world by storm. Large language models are becoming a powerful new primitive for building software. ...

Tags: Python, Programming Principles, Machine LearningFormat: PreCompilerLevel: Intermediate

Building Applications on Top of Large Language Models (LLMs) (Part 2)

Presented by: Nilanjan Raychaudhuri, BJ Allmon

It’s no secret that a new generation of powerful and highly-scaled language models is taking the world by storm. Large language models are becoming a powerful new primitive for building software. ...

Tags: Python, Programming Principles, Machine LearningFormat: PreCompilerLevel: Intermediate

Learning R Programming and Python Together - Data Science Primer for Everyone

Presented by: Pierre DeBois

Both R programming and Python have become workhorse languages in the field of data science. They have allowed practitioners to apply statistical frameworks to a vast array of data models. Today, new tools allow a combination of principles from both languages. How can tech professionals gain the...

Tags: Python, Data ScienceFormat: PreCompilerLevel: Introductory and overview

Off The Shelf AI (Part 1)

Presented by: Jordan Thayer, Robert Herbig

Hearing about artificial intelligence is unavoidable these days if you’re watching the news or staying abreast of the technical sector. We frequently hear about the power of AI-enabled tools, and are shown soundbytes of experts extolling the virtues of their approach. ...

Tags: Python, Programming Principles, Machine LearningFormat: PreCompilerLevel: Introductory and overview

Mad Scientist Lab With Raspberry Pi Pico Microcontrollers

Presented by: Barry Tarlton, Brendan Barth

Carefully plugging the wires into the bread board, doubt seeps in, “should the red wire go to ground or the white one?” LEDs all in place, Python code properly indented (spaces, not tabs), prayers go up for the magic smoke to not escape as the electronics are powered on. In an instant, worries...

Tags: Python, Hardware, IoTFormat: PreCompilerLevel: Intermediate

Off The Shelf AI (Part 2)

Presented by: Jordan Thayer, Robert Herbig

Hearing about artificial intelligence is unavoidable these days if you’re watching the news or staying abreast of the technical sector. We frequently hear about the power of AI-enabled tools, and are shown soundbytes of experts extolling the virtues of their approach. ...

Tags: Python, Programming Principles, Machine LearningFormat: PreCompilerLevel: Introductory and overview

How to Ground LLM's to minimize hallucinations

Presented by: Cameron Vetter

Language models have made significant advancements in recent years, with models like GPT-3 and GPT-4 showcasing impressive capabilities. However, one persistent challenge that arises with these models is the occurrence of hallucinations—instances where the model generates plausible-sounding but...

Tags: Python, Machine Learning, Data ScienceFormat: General SessionLevel: Intermediate

Take Back Control - Introducing Veilid

Presented by: Bill Sempf

Veilid is an open-source, peer-to-peer, mobile-first, networked application framework. It allows developers to build private, distributed, scalable social applications containing and sharing a user's personal content without data collection by third parties being of concern. Built by Cult of the...

Tags: Python, Rust, Mobile, Security, CloudFormat: General SessionLevel: Intermediate

Developing kids in tech - a retrospective

Presented by: Bill Sempf

Your humble speaker has spent the last eighteen years devising, researching, and implementing ways to get kids into tech. Between Scouting, advising friends, KidzMash, and my own Thing 1 and Thing 2, I have accumulated a rather dramatic list of ideas that do and do not work. Programming, social...

Tags: Python, Security, LeadershipFormat: General SessionLevel: Introductory and overview

What's that smell? Monitoring air quality with Python, Raspberry Pi, and Redis

Presented by: Justin Castilla

With a little wiring and a few lines of code, one can create your own hyper-local air sensor system to send alerts, activate smart-windows, and gather data. A sensor measures air particulate density and sends the values to a Raspberry Pi compute unit. The Raspberry Pi then sends the data along with...

Tags: Python, IoT, Cloud, Data Science, DatabasesFormat: General SessionLevel: Intermediate