Practical AI

Practical AI

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Episode (200)

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61
Practical workflow orchestration

Practical workflow orchestration

Oct 15, 2024

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 ...

62
Towards high-quality (maybe synthetic) datasets

Towards high-quality (maybe synthetic) datasets

Oct 09, 2024

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 Be...

63
Understanding what's possible, doable & scalable

Understanding what's possible, doable & scalable

Oct 03, 2024

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 Ge...

64
GraphRAG (beyond the hype)

GraphRAG (beyond the hype)

Sep 25, 2024

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, join...

65
Pausing to think about scikit-learn & OpenAI o1

Pausing to think about scikit-learn & OpenAI o1

Sep 17, 2024

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...

66
Cybersecurity in the GenAI age

Cybersecurity in the GenAI age

Sep 11, 2024

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 th...

67
AI is more than GenAI

AI is more than GenAI

Sep 05, 2024

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 i...

68
Metrics Driven Development

Metrics Driven Development

Aug 29, 2024

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...

69
Threat modeling LLM apps

Threat modeling LLM apps

Aug 22, 2024

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...

70
Only as good as the data

Only as good as the data

Aug 14, 2024

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...

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