**Register here: [https://bit.ly/4193uDw](https://bit.ly/4193uDw)**[ ](https://bit.ly/4193uDw)
We are only now discovering the immense power, latent capability, and emergent behaviours of Large Language Models and Generative AI. If software is eating the world, then GPT is eating software itself. In a matter of days and weeks, all the rules of the technology industry that we take for granted have become uncertain, and maybe even dangerously wrong.
Foucault said that “a Singularity is when things are no longer perceived, described, expressed, characterized, classified, and known in the same way.” By that definition, like it or not, we are in a singularity. Perhaps not in the Kurzweilian sense, but certainly in the way Foucault meant them: a discontinuity, beyond which things are unknown or unknowable.
Join The Hive Think Tank, Mike Conover and Sam Shah from Databricks, and Alistair Croll for a wide-ranging conversation that is as much about philosophy as it is technology. They’ll explore metaphors for understanding this transformative time in software, consider the impact of human augmentation, and discuss the moral obligation to democratize and govern this unprecedented technological breakthrough.
Register on [Zoom](https://us02web.zoom.us/webinar/register/WN_EXMKnVZQRKekEgb-dbjL3Q) using the bit.ly link!
**About the Speakers:**
[Mike Conover](https://www.linkedin.com/in/michaelconover/) leads applied AI at [Databricks](databricks.com). Mike’s work has been featured in the New York Times, the Wall Street Journal, and on NPR.
[Sam Shah](https://www.linkedin.com/in/shahsam/) is VP of Engineering at Databricks and head of the company’s data strategy. Dr. Shah has a diverse set of experience as a data executive and founder of an AI startup.
[Alistair Croll](https://www.linkedin.com/in/alistaircroll/?originalSubdomain=ca) (moderator) has also launched and chaired some of the world’s leading conferences on emerging technology, including Startupfest, Strata, Cloud Connect, FWD50, Bitnorth, Scaletech, and more. Alistair is the author of four books on technology and entrepreneurship, including the best-selling Lean Analytics, which has been translated into eight languages and is in its tenth printing in China. He speaks internationally on topics such as data science, innovation, scaling startups, digital government, AI, and applying critical thinking to technology.
[Dolly](https://www.databricks.com/blog/2023/03/24/hello-dolly-democratizing-magic-chatgpt-open-models.html) is a cheap-to-build LLM that exhibits a surprising degree of the instruction following capabilities exhibited by ChatGPT. We show that anyone can take a dated off-the-shelf open source large language model (LLM) and give it magical ChatGPT-like instruction following ability by training it in 30 minutes on one machine, using high-quality training data. Surprisingly, instruction-following does not seem to require the latest or largest models: our model is only 6 billion parameters, compared to 175 billion for GPT-3. We open source the code for our model (Dolly) and show how it can be re-created on Databricks. We believe models like Dolly will help democratize LLMs, transforming them from something very few companies can afford into a commodity every company can own and customize to improve their products.