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Practical AI LLC

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

Practical AI: Machine Learning, Data Science

Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enabled commerce assistant that understands a merchant’s business (products, orders, customers) and has been trained to know all about Shopify.

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 • Mike Tamir – 
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Show Notes:

ShopifyShopify’s Winter Edition ’25
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Sidekick is an AI Shopify expert

Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.

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Shopify • – Sign up for a $1/month trial period at 
shopify.com/practicalaiEight Sleep • – 
Up to $600 off Pod 4 Ultra • — Go to 
eightsleep.com/changelog • and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. 
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Featuring:

 • Jeff Smith – 
LinkedIn • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

CHRP | WebsiteMyCHRPCHRP | InstagramCHRP | LinkedIn
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Mozart to Megadeth at CHRP

We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.

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Domo • – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. 

Featuring:

 • Paras Jain – 
LinkedIn • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

Genmo
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Video generation with realistic motion

There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.

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Notion • – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. 
Domo • – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. 

Featuring:

 • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

Daniel’s blog post on DeepSeekDeepSeek R1 on Hugging FaceDeepSeek
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Deep-dive into DeepSeek

It seems like everyone is uses the term “agent” differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can “talk to” and “interact with” other systems like databases, APIs, web apps, etc. Along the way they share related learning resources.

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Notion • – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. 

Featuring:

 • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

smolagentsHugging Face agents course
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Tool calling and agents

It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!

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Domo • – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. 
Fly.io • – 
The home of Changelog.com • — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. 
Check out the speedrun • to get started in minutes. 

Featuring:

 • Chris Benson – 
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LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

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GenAI hot takes and bad use cases

How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own.

Featuring:

 • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X • Scott Meyer - 
LinkedIn • , 
X
Sponsors:

Domo • – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.

Show Notes:

Chipp.aiChipp.ai's Discord

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Build a workspace of AI agents

In this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.

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Hired • – 
Salary and benefits upfront? Yes please. • Our listeners get 
a double hiring bonus • of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at 
hired.com/practicalai • . 

Rollbar • – 
We catch our errors before our users do because of Rollbar. • Resolve errors in minutes, and deploy your code with confidence. Learn more at 
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Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at 
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Our cloud server of choice. • Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to 
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Featuring:

 • Daniel Whitenack – 
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X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Adam Stacoviak – 
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GitHub • , 
LinkedIn • , 
Mastodon • , 
X • Jerod Santo – 
GitHub • , 
LinkedIn • , 
Mastodon • , 
X
Show Notes:

Symbolic artificial intelligence
Deep learning
Machine learning
NVIDIA’s GPU Technology Conference (GTC) • - the premier AI and deep learning event from NVIDIA.

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Meet your Practical AI hosts

Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.

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Sponsors:

Hired • – 
Salary and benefits upfront? Yes please. • Our listeners get 
a double hiring bonus • of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at 
hired.com/practicalai • . 

Rollbar • – 
We catch our errors before our users do because of Rollbar. • Resolve errors in minutes, and deploy your code with confidence. Learn more at 
rollbar.com/changelog • . 

Fastly • – 
Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at 
fastly.com • . 

Linode • – 
Our cloud server of choice. • Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to 
linode.com/changelog • 

Featuring:

 • Mat Ryer – 
Website • , 
GitHub • , 
LinkedIn • , 
X • David Hernandez – 
GitHub • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

MachineBox

Books

“Go Programming Blueprints” by Mat Ryer

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Putting AI in a box at MachineBox

Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.

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Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

Hired • – 
Salary and benefits upfront? Yes please. • Our listeners get 
a double hiring bonus • of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at 
hired.com/practicalai • . 

Rollbar • – 
We catch our errors before our users do because of Rollbar. • Resolve errors in minutes, and deploy your code with confidence. Learn more at 
rollbar.com/changelog • . 

Fastly • – 
Our bandwidth partner. • Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at 
fastly.com • . 

Linode • – 
Our cloud server of choice. • Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to 
linode.com/changelog • 

Featuring:

 • Amanda Ramcharan – 
Website • , 
GitHub • , 
X • Latifa Mrisho – 
X • Peter McCloskey – 
 • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

Assessing a mobile-based deep learning model for plant disease surveillance
Penn State-developed plant-disease app recognized by Google

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Helping African farmers with TensorFlow

The All Things Open conference is happening soon, and we snagged one of their speakers to discuss open source and AI. Samuel Taylor talks about the essential role that open source is playing in AI development and research, and he gives us some tips on choosing AI-related side projects.

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All Things Open • – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 

Featuring:

 • Samuel Taylor – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

Tweet and mention @Changelog or @PracticalAIFM for a chance to win 1 of 5 free passes to the conference!

“I want a free pass to @AllThingsOpen because…”

All Things Open
Samuel’s All Things Open talk description
Episode #17 - Fighting bias in hiring
Jupyter
Pandas
Scikit-learn

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The influence of open source on AI development

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