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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

In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard. 

Featuring:

 • Pavel Veller – 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

EPAMDIALSWE-bench results

Orchestrating agents, APIs, and MCP servers

SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!

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Featuring:

 • Ines Montani – 
GitHub • , 
X • Matthew Honnibal – 
GitHub • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Show Notes:

SpaCy
Advanced NLP with SpaCy course
Thinc
Explosion AI
Prodigy
Fast.ai
Machine learning yearning

Something missing or broken? PRs welcome!

Modern NLP with spaCy

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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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. 
Timescale • – 
Purpose-built performance for AI • Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. 
Eight 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. 

Featuring:

 • Mike Tamir – 
LinkedIn • Matt Colyer – 
LinkedIn • , 
X • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X
Show Notes:

ShopifyShopify’s Winter Edition ’25
Something missing or broken? PRs welcome!

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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Sponsors:

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. 
DeleteMe • – DeleteMe makes it quick, easy and safe to remove your personal data online. 

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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Sponsors:

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
Something missing or broken? PRs welcome!

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
Something missing or broken? PRs welcome!

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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Sponsors:

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
Something missing or broken? PRs welcome!

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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Sponsors:

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

Something missing or broken? PRs welcome!

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

Build a workspace of AI agents

We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance. 

Featuring:

 • Kate Soule – 
LinkedIn • Chris Benson – 
Website • , 
GitHub • , 
LinkedIn • , 
X • Daniel Whitenack – 
Website • , 
GitHub • , 
X
Links:

IBM GraniteIBM Granite on Hugging FaceIBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise

Optimizing for efficiency with IBM’s Granite

Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t explain? In this episode, Janis Klaise, a data scientist with Seldon, joins us to talk about model interpretation and Seldon’s new open source project called Alibi. Janis also gives some of his thoughts on production ML/AI and how Seldon addresses related problems.

Join the discussion

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Sponsors:

DigitalOcean • – 
Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. • Get started for free with a $50 credit. Learn more at 
do.co/changelog • . 

DataEngPodcast • – A podcast about data engineering and modern data infrastructure. 

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 • . 

Featuring:

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

Seldon
Seldon Core
Alibi

Books

“The Foundation Series” by Isaac Asimov
“Interpretable Machine Learning” by Christoph Molnar

Something missing or broken? PRs welcome!

Model inspection and interpretation at Seldon

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