By Changelog Media
4.4
158158 ratings
The podcast currently has 293 episodes available.
Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipelines. Along the way, he introduces us to things like Marvin, their AI engineering framework, and ControlFlow, their agent workflow system.
Join the discussion
Changelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
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.
Join the discussion
Changelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI trenches & highlight what it takes (practically) to show what is possible, doable & scalable with AI.
Join the discussion
Changelog++ members save 11 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data.
Join the discussion
Changelog++ members save 8 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”
Join the discussion
Changelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Join the Practical AI community — it’s free! Connect with us in the #practicalai Slack channel. The community is here for you as a place to below, to bounce ideas around, or to get feedback on a conference to attend or talk you’d like to give.
Something missing or broken? PRs welcome!
Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.
Join the discussion
Changelog++ members save 7 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.
Join the discussion
Changelog++ members save 2 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.
Join the discussion
Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more.
Join the discussion
Changelog++ members save 9 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regulation with the EU’s AI Act coming into force.
Join the discussion
Changelog++ members save 5 minutes on this episode because they made the ads disappear. Join today!
Sponsors:
Featuring:
Show Notes:
Something missing or broken? PRs welcome!
The podcast currently has 293 episodes available.
157 Listeners
467 Listeners
437 Listeners
287 Listeners
283 Listeners
149 Listeners
266 Listeners
86 Listeners
94 Listeners
129 Listeners
164 Listeners
50 Listeners
323 Listeners
22 Listeners