Building Applications on Top of Large Language Models (LLMs)
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. ...
Format: PreCompilerLevel: IntermediateHow 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...
Format: General SessionLevel: IntermediateMad 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...
Format: PreCompilerLevel: IntermediateTake 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...
Format: General SessionLevel: IntermediateWhat'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...
Format: General SessionLevel: Intermediate