Practical AI: Machine Learning, Data Science, LLM
Changelog Media
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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.
25 years of speech technology innovation
Practical AI: Machine Learning, Data Science, LLM
05/11/21 • 42 min
4 Listeners
Creating tested, reliable AI applications
Practical AI: Machine Learning, Data Science, LLM
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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- 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.
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Featuring:
Show Notes:
Something missing or broken? PRs welcome!
3 Listeners
AI vs software devs
Practical AI: Machine Learning, Data Science, LLM
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.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 – Mastodon, Twitter, GitHub
- Sharon DiOrio – Twitter
- Steven Pyle – LinkedIn
- José Valim – Twitter, GitHub, Website
- Jerod Santo – Mastodon, Twitter, GitHub, LinkedIn
- Kevin Ball – Twitter, GitHub, LinkedIn, Website
- Nick Nisi – Mastodon, Twitter, GitHub, Website
- Johnny Boursiquot – Twitter, GitHub, Website
- Adam Stacoviak – Mastodon, Twitter, GitHub, LinkedIn, Website
Show Notes:
- JS Party #317 (This will 404 until Thursday!)
- Go Time #306
- Changelog & Friends #28
Something missing or broken? PRs welcome!
2 Listeners
RAG continues to rise
Practical AI: Machine Learning, Data Science, LLM
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 – Twitter
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
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!
2 Listeners
Should kids still learn to code?
Practical AI: Machine Learning, Data Science, LLM
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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- 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!
2 Listeners
Gemini vs OpenAI
Practical AI: Machine Learning, Data Science, LLM
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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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:
- Gemini
- FCC decision on AI voices
- FCC Bans AI Voices in Unsolicited Robocalls
- Prompt Engineering Guide
Something missing or broken? PRs welcome!
2 Listeners
Towards high-quality (maybe synthetic) datasets
Practical AI: Machine Learning, Data Science, LLM
10/09/24 • 57 min
As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein & Ben Burtenshaw, who are building Argilla & Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation & AI-generated labeling / feedback.
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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.
- WorkOS – A platform that gives developers a set of building blocks for quickly adding enterprise-ready features to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at WorkOS.com
- Eight Sleep – Take your sleep and recovery to the next level. Go to eightsleep.com/PRACTICALAI and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. 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:
- Ben Burtenshaw – Twitter, GitHub, LinkedIn
- David Berenstein – Twitter, GitHub, LinkedIn
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
1 Listener
Apple Intelligence & Advanced RAG
Practical AI: Machine Learning, Data Science, LLM
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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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.
- Plumb – Low-code AI pipeline builder that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control.
- Backblaze – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options.
Featuring:
Show Notes:
- Apple Intelligence
- Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac
- The top AI features Apple announced at WWDC 2024
- Hybrid Search: Combining BM25 and Semantic Search for Better Results with Langchain
- Advanced RAG: Precise Zero-Shot Dense Retrieval with HyDE
Something missing or broken? PRs welcome!
1 Listener
MLOps is alive and well
Practical AI: Machine Learning, Data Science, LLM
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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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!
1 Listener
Representation Engineering (Activation Hacking)
Practical AI: Machine Learning, Data Science, LLM
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.
Changelog++ members save 4 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.
- 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:
Show Notes:
- Data synthesis for SOTA LLMs with Karan Malhotra from Nous Research (Practical AI #255)
- Article: Representation Engineering Mistral-7B an Acid Trip
- OpenAI Sora
Something missing or broken? PRs welcome!
1 Listener
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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 454 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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