Practical AI: Machine Learning, Data Science
Changelog Media
1 Creator
1 Creator
7 Listeners
All episodes
Best episodes
Top 10 Practical AI: Machine Learning, Data Science Episodes
Best episodes ranked by Goodpods Users most listened
25 years of speech technology innovation
Practical AI: Machine Learning, Data Science
05/11/21 • 42 min
05/11/21 • 42 min
1 Listener
Computer scientists as rogue art historians
Practical AI: Machine Learning, Data Science
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 – Twitter, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
04/12/23 • 43 min
1 Listener
Stable Diffusion
Practical AI: Machine Learning, Data Science
09/13/22 • 44 min
The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2).
(Image from stability.ai)
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
Show Notes:
- Announcement blog post
- Stable diffusion paper
- Blog post about the model from Marc Päpper
- Stable Diffusion on Hugging Face
- Hugging Face Diffusers library
Something missing or broken? PRs welcome!
09/13/22 • 44 min
1 Listener
3D assets & simulation at NVIDIA
Practical AI: Machine Learning, Data Science
01/31/23 • 42 min
What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!
Changelog++ members save 1 minute on this episode because they made 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:
- Beau Perschall – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- NVIDIA’s Omniverse
- Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets
- Tech blog around Omniverse and SimReady assets
Something missing or broken? PRs welcome!
01/31/23 • 42 min
1 Listener
AI search at You.com
Practical AI: Machine Learning, Data Science
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 – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
03/15/23 • 42 min
1 Listener
Explainable AI that is accessible for all humans
Practical AI: Machine Learning, Data Science
03/28/23 • 45 min
We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assistants?
Beth Rudden of Bast.ai has been thinking about this topic for some time and has developed an ontological approach to creating conversational AI. We hear more about that approach and related work in this episode.
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
- 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.
- 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
- Typesense – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster!
Featuring:
- Beth Rudden – Twitter, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
03/28/23 • 45 min
1 Listener
MLOps is alive and well
Practical AI: Machine Learning, Data Science
02/07/23 • 56 min
Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.
Changelog++ members save 2 minutes on this episode because they made 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.
- Changelog++ – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. Let’s do this!
Featuring:
- Demetrios Brinkmann – Twitter
- Mihail Eric – Twitter, GitHub, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
02/07/23 • 56 min
1 Listener
AI IRL & Mozilla's Internet Health Report
Practical AI: Machine Learning, Data Science
08/02/22 • 42 min
Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change.
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
08/02/22 • 42 min
1 Listener
ChatGPT goes prime time!
Practical AI: Machine Learning, Data Science
01/10/23 • 44 min
Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
01/10/23 • 44 min
1 Listener
Capabilities of LLMs 🤯
Practical AI: Machine Learning, Data Science
04/19/23 • 38 min
Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.
Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.
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:
- Rajiv Shah – Twitter, GitHub, LinkedIn, Website
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
- Solving AI Tasks with ChatGPT and its Friends in HuggingFace | GitHub
- Generative Agents: Interactive Simulacra of Human Behavior
- Wolfram ChatGPT
- Comparing LLMs
- LangChain
- Learn about LLMs:
- Learning Prompting
- Getting Started with Transformers:
- Training your own LLM Models:
- Dolly blog post
- Illustrating Reinforcement Learning from Human Feedback
Something missing or broken? PRs welcome!
04/19/23 • 38 min
1 Listener
Show more
Show more
FAQ
How many episodes does Practical AI: Machine Learning, Data Science have?
Practical AI: Machine Learning, Data Science currently has 401 episodes available.
What topics does Practical AI: Machine Learning, Data Science cover?
The podcast is about How To, Podcasts, Technology, Education and Artificial Intelligence.
What is the most popular episode on Practical AI: Machine Learning, Data Science?
The episode title '25 years of speech technology innovation' is the most popular.
What is the average episode length on Practical AI: Machine Learning, Data Science?
The average episode length on Practical AI: Machine Learning, Data Science is 47 minutes.
How often are episodes of Practical AI: Machine Learning, Data Science released?
Episodes of Practical AI: Machine Learning, Data Science are typically released every 6 days, 18 hours.
When was the first episode of Practical AI: Machine Learning, Data Science?
The first episode of Practical AI: Machine Learning, Data Science was released on Jul 2, 2018.
Show more FAQ
Show more FAQ
Comments
0.0
out of 5
No ratings yet