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Practical AI: Machine Learning, Data Science, LLM

Practical AI: Machine Learning, Data Science, LLM

Changelog Media

1 Creator

1 Creator

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!
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Top 10 Practical AI: Machine Learning, Data Science, LLM Episodes

Goodpods has curated a list of the 10 best Practical AI: Machine Learning, Data Science, LLM episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Practical AI: Machine Learning, Data Science, LLM 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: Machine Learning, Data Science, LLM episode by adding your comments to the episode page.

Practical AI: Machine Learning, Data Science, LLM - 25 years of speech technology innovation

25 years of speech technology innovation

Practical AI: Machine Learning, Data Science, LLM

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05/11/21 • 42 min

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Practical AI: Machine Learning, Data Science, LLM - Should kids still learn to code?

Should kids still learn to code?

Practical AI: Machine Learning, Data Science, LLM

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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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Practical AI: Machine Learning, Data Science, LLM - RAG continues to rise

RAG continues to rise

Practical AI: Machine Learning, Data Science, LLM

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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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  • 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.
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Practical AI: Machine Learning, Data Science, LLM - Gemini vs OpenAI

Gemini vs OpenAI

Practical AI: Machine Learning, Data Science, LLM

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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.

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  • 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.ioThe 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.

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Practical AI: Machine Learning, Data Science, LLM - AI vs software devs

AI vs software devs

Practical AI: Machine Learning, Data Science, LLM

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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.

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  • 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.ioThe 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.

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Practical AI: Machine Learning, Data Science, LLM - Apple Intelligence & Advanced RAG

Apple Intelligence & Advanced RAG

Practical AI: Machine Learning, Data Science, LLM

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06/25/24 • 45 min

Daniel & Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent Apple Intelligence announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical & productive.

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  • 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.
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Practical AI: Machine Learning, Data Science, LLM - Generative models: exploration to deployment

Generative models: exploration to deployment

Practical AI: Machine Learning, Data Science, LLM

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10/03/23 • 49 min

What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.

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  • Neo4j – NODES 2023 is coming in October!
  • FastlyOur 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.ioThe 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.

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Practical AI: Machine Learning, Data Science, LLM - 3D assets & simulation at NVIDIA

3D assets & simulation at NVIDIA

Practical AI: Machine Learning, Data Science, LLM

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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!

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  • FastlyOur 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
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Practical AI: Machine Learning, Data Science, LLM - Representation Engineering (Activation Hacking)

Representation Engineering (Activation Hacking)

Practical AI: Machine Learning, Data Science, LLM

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02/28/24 • 43 min

Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI.

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  • 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.
  • Changelog News – A podcast+newsletter combo that’s brief, entertaining & always on-point. Subscribe today.
  • Fly.ioThe 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.

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Practical AI: Machine Learning, Data Science, LLM - MLOps is alive and well

MLOps is alive and well

Practical AI: Machine Learning, Data Science, LLM

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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.

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  • FastlyOur 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.ioThe 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.
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FAQ

How many episodes does Practical AI: Machine Learning, Data Science, LLM have?

Practical AI: Machine Learning, Data Science, LLM currently has 447 episodes available.

What topics does Practical AI: Machine Learning, Data Science, LLM cover?

The podcast is about Deep Learning, Podcasts, Technology, Artificial Intelligence and Machine Learning.

What is the most popular episode on Practical AI: Machine Learning, Data Science, LLM?

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, LLM?

The average episode length on Practical AI: Machine Learning, Data Science, LLM is 47 minutes.

How often are episodes of Practical AI: Machine Learning, Data Science, LLM released?

Episodes of Practical AI: Machine Learning, Data Science, LLM are typically released every 6 days, 19 hours.

When was the first episode of Practical AI: Machine Learning, Data Science, LLM?

The first episode of Practical AI: Machine Learning, Data Science, LLM was released on Jul 2, 2018.

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