How to Ground LLM’s to minimize hallucinations

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 incorrect or nonsensical responses.

In this talk, we will explore strategies to ground language models to minimize the occurrence of hallucinations. By grounding LLMs, we aim to enhance their reliability and ensure that the generated outputs align more closely with factual accuracy and logical coherence.

We will discuss various techniques and approaches that can be employed to address hallucinations effectively. These may include fine-tuning the models on domain-specific data, incorporating external knowledge sources, leveraging human-in-the-loop feedback, and implementing robust evaluation mechanisms.

Furthermore, we will delve into the underlying causes of hallucinations and examine the limitations of current language models. By understanding these factors, we can develop targeted strategies to mitigate the occurrence of hallucinations and improve the overall performance of LLMs.

Join us in this talk as we explore practical methods to ground language models and minimize hallucinations. Discover how these techniques can enhance the reliability and trustworthiness of LLMs, making them more suitable for real-world applications across various domains. Together, let’s unlock the full potential of language models while ensuring their outputs align with factual accuracy and logical coherence.

MACC 2021 Why do Machine Learning Projects Fail Slides

It was great to return to the Midwest Architecture Community Collaboration Conference this year even if it was virtual.  This talk has been something I’ve building towards for years, and attempts to capture some of the wisdom I have acquired in the last few years in machine learning space.  ML project failures is the hidden secret nobody wants to talk about in our industry.  I hope everyone enjoyed hearing this talk as my as I enjoyed giving it!

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Sign Ups open for September CNUG Talk

At this month’s Chicago .NET Users Group, I will be giving a talk discussing how to bring Machine Learning to your development teams in a sensible and pragmatic way.  This is a virtual online event, so I would like to encourage everyone to join us regardless of location!

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Build 2020 Round Up

The Build 2020 keynotes just wrapped up and I’ve done a series of posts for my company (Octavian Technology Group).  Here is a round-up of what I thought were some of the most exciting announcements:

Global AI Bootcamp 2019 is this weekend!

This Saturday is Global AI Bootcamp 2019.  This is a worldwide event that is being hosted in 130 locations around the world. I’m proud to be the host and one of the speakers of the Milwaukee event.  We still have a few tickets left so signup while you can at

Global AI Nights Event – limited space available!

I’m excited to be the host for Milwaukee’s first Global AI Night. The Global AI Night is a free evening event organized by 93 communities all over the world that are passionate about Artificial Intelligence on the Microsoft Azure.

During this AI Night, you will get inspired through sessions and get your hands dirty during the workshops. By the end of the night, you will be able to infuse AI into your applications.

Limited space is available, sign up here:

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