Practical AI
Practical AI LLC
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1 Creator
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Top 10 Practical AI Episodes
Goodpods has curated a list of the 10 best Practical AI episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Practical AI for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Practical AI episode by adding your comments to the episode page.
25 years of speech technology innovation
Practical AI
05/11/21 • 42 min
5 Listeners
RAG continues to rise
Practical AI
04/10/24 • 48 min
Daniel & Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming AI Quality Conference.
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Sponsors:
- The Hacker Mindset – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles.
- Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today.
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
Featuring:
- Demetrios Brinkmann – X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
- MLOps Community
- AI Quality Conference
- Evaluation Survey
- RAG failover talk from Jerry Lui
- Prompt Templates the Song
Something missing or broken? PRs welcome!
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Build a workspace of AI agents
Practical AI
03/08/25 • 47 min
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:
★ Support this podcast ★3 Listeners
Creating tested, reliable AI applications
Practical AI
11/13/24 • 50 min
It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models.
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Sponsors:
- 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:
Show Notes:
Something missing or broken? PRs welcome!
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Should kids still learn to code?
Practical AI
04/02/24 • 39 min
In this fully connected episode, Daniel & Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative AI interfaces and search engines.
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Sponsors:
- Ladder Life Insurance – 100% digital — no doctors, no needles, no paperwork. Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list.
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
Featuring:
Show Notes:
- NVIDIA GTC March 2024 Keynote with NVIDIA CEO Jensen Huang
- 5 Forces That Will Drive the Adoption of GenAI | Harvard Business Review
- Here’s why AI search engines really can’t kill Google | The Verge
Something missing or broken? PRs welcome!
★ Support this podcast ★2 Listeners
Deep-dive into DeepSeek
Practical AI
01/31/25 • 50 min
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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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.
- Domo – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
★ Support this podcast ★2 Listeners
Gemini vs OpenAI
Practical AI
02/14/24 • 43 min
Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.
We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.
Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database...Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit Neo4j.com/developer to get started.
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
★ Support this podcast ★2 Listeners
AI vs software devs
Practical AI
03/26/24 • 57 min
Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time & The Changelog.
Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
- Neo4j – Is your code getting dragged down by JOINs and long query times? The problem might be your database...Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit Neo4j.com/developer to get started.
- The Hacker Mindset – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles.
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
Featuring:
- Kent Quirk – GitHub, Mastodon, X
- Sharon DiOrio – X
- Steven Pyle – LinkedIn
- José Valim – Website, GitHub, X
- Jerod Santo – GitHub, LinkedIn, Mastodon, X
- Kevin Ball – Website, GitHub, LinkedIn, X
- Nick Nisi – Website, GitHub, Mastodon, X
- Johnny Boursiquot – Website, GitHub, X
- Adam Stacoviak – Website, GitHub, LinkedIn, Mastodon, X
Show Notes:
- JS Party #317 (This will 404 until Thursday!)
- Go Time #306
- Changelog & Friends #28
Something missing or broken? PRs welcome!
★ Support this podcast ★2 Listeners
Computer scientists as rogue art historians
Practical AI
04/12/23 • 43 min
What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
- 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
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
- Amanda Wasielewski – Website, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
Something missing or broken? PRs welcome!
★ Support this podcast ★1 Listener
AI search at You.com
Practical AI
03/15/23 • 42 min
Neural search and chat-based search are all the rage right now. However, You.com has been innovating in these topics long before ChatGPT. In this episode, Bryan McCann from You.com shares insights related to our mental model of Large Language Model (LLM) interactions and practical tips related to integrating LLMs into production systems.
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
- 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
- Fly.io – The home of Changelog.com — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at fly.io/changelog and check out the speedrun in their docs.
Featuring:
- Bryan McCann – GitHub, LinkedIn, X
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Show Notes:
Something missing or broken? PRs welcome!
★ Support this podcast ★1 Listener
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FAQ
How many episodes does Practical AI have?
Practical AI currently has 461 episodes available.
What topics does Practical AI cover?
The podcast is about Deep Learning, Podcasts, Technology, Artificial Intelligence and Machine Learning.
What is the most popular episode on Practical AI?
The episode title '25 years of speech technology innovation' is the most popular.
What is the average episode length on Practical AI?
The average episode length on Practical AI is 47 minutes.
How often are episodes of Practical AI released?
Episodes of Practical AI are typically released every 6 days, 19 hours.
When was the first episode of Practical AI?
The first episode of Practical AI was released on Jul 2, 2018.
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