GenAI in the Enterprise: Erik Hermansen, Director of Engineering at Bayer

Keyhole Software AI, Gen AI In The Enterprise, Machine Learning, Podcast Leave a Comment

Erik Hermansen, a Director of Engineering at Bayer, joins us on the Generative AI in the Enterprise podcast today. Erik is a self-taught software engineer who is passionate about bleeding-edge techs, like Generative AI and LLMs. He has a lot of sympathy for folks who feel overwhelmed and overloaded by all the hype around GenAI. His advice is to slow …

Quickly Setup And Use CodeGPT in VS Code

Chris Vaught Development Technologies, Machine Learning, Programming Leave a Comment

Lately, the buzz about AI has been inescapable among my peers – especially around OpenAI’s GPT-4 and its implementations: Chat GPT, VideoGPT, and DALL·E. Tools like these are rapidly changing how we interact with and develop on the internet. They are defining our future. Web 5.0 is here, believe it or not, and AI is a big part of that.

Using Open AI’s GPT-4 doesn’t come without some controversy, but the implementation of CodeGPT within VS Code should not cause concern. Time-traveling, unstoppable intelligent robots are not coming after you… at least not just yet.

In this post, I’ll briefly cover why using CodeGPT is helpful, how to use it, and how to set it up. Let’s get started!

Data Science

Predicting River Flow with a Supervised Learning Time Series Model

Alex Lagge Data Science, Machine Learning 1 Comment

In this blog, we will build a flow rate prediction algorithm for the Norfork River in Arkansas. Both farmers and recreationists are heavily dependent on the flow rate of the river. As the river flows faster, the risk of flooding increases and flooding can destroy crops for farmers and ruin vacations for tourists.

My goal with this flow rate prediction algorithm was to give a better idea of what the next 4 days of river flow will look like. Below, I will discuss the data science process that I underwent to make these predictions.