08:30

Hardcore Bayesian Stats: Post-Stratification + Hierarchical Modeling

04:37

PyTensor's Under-the-Hood "Secrets"

10:49

794: Exciting (and Frightening!) Trends in Open-Source AI — with Jon Krohn (@JonKrohnLearns)

05:32

How Computing Power Brought Back Bayesian Statistics

13:00

A Cool, Practical Explanation of Bayesian Stats

01:31:57

793: Bayesian Methods and Applications — with Alexandre Andorra

07:14

The AI Field Moves Fast. Here's How to Stay Sane.

05:42

The Shortcomings of RLHF for LLM Fine-Tuning

03:40

Multiple-Stage Optimization Leads to Sub-Optimal LLMs

22:23

792: In Case You Missed It in May 2024 — with Jon Krohn (@JonKrohnLearns)

06:24

LLM-Infused Robots are the Future

09:18

How RLHF Aligns LLMs with Human Desires

55:54

791: Reinforcement Learning from Human Feedback (RLHF) — with Dr. Nathan Lambert

12:03

Deep Nets Learn Better if Final Layer is Frozen

02:37

People Are Confusing "Neurons" and "Parameters" in LLMs

10:27

Visualizing Neural Networks: Its Value and Limitations

07:26

790: Open-Source Libraries for Data Science at the New York R Conference — with @JonKrohnLearns

05:28

How to Get Customers to Buy Your AI/ML Model

13:23

Machine Learning for Renewable Energy

01:13:25

789: ML for Wind-Powered Energy Generation — with Jason Yosinski

05:35

A Few How-To Gems for Building a Thriving Community from Scratch

04:48

MLOps Moves Fast. How Can Keep Up?

05:12

The AI Quality Conference: Is AI Actually Doing What It's Supposed To Be Doing?

09:54

788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks — with @JonKrohnLearns

03:17

MLOps vs ML Engineering Explained

09:07

Is LLMOps Really a Thing?

55:28

787: MLOps: The Job and The Key Tools — with Demetrios Brinkmann

02:40

How to Start as a Content Creator

05:51

Quantum Machine Learning: What Will It Unlock?

03:32

What Will Be The Big Trend After Generative AI?

27:02

786: The Six Keys to Data Scientists' Success — with Kirill Eremenko

10:20

Want a Better LLM? You Need Better Embeddings. Here's Why.

04:31

How Will Generative AI Transform Education?

01:04:34

785: Math, Quantum ML and Language Embeddings — with Dr. Luis Serrano (@SerranoAcademy)

04:50

AI Can Prevent Climate Change Crises

06:38

70% of Solar Projects Fail. Now AI Can Fix This.

09:30

784: Aligning Large Language Models — with Sinan Ozdemir

04:10

The Evolution and Impact of AI on Journalism

02:08

Recommendation Systems Under the Hood

01:04:52

783: Generative AI for Solar Power Installation — with Navdeep Martin

03:46

You Probably Shouldn't Patent Your IP (Intellectual Property)

03:05

Data Engineering and Data Science Should be Distinct Teams

10:03

Highlights of Sol Rashidi's "AI Survival Guide"

40:44

782: In Case You Missed It in April 2024 — with Jon Krohn (@JonKrohnLearns)

03:36

Your High IQ Won't Help Much in the C-Suite

05:53

Why do CDOs Have Such High Turnover? (Chief Data Officers)

01:02:55

781: Ensuring Successful Enterprise AI Deployments — with Sol Rashidi

03:05

Quarto: Text + Code Documents Made Easy and Beautiful

02:36

Why Did RStudio Become Posit?

04:55

Hadley Wickham on R vs Python

08:12

780: How to Become a Data Scientist — with Dr. Adam Ross Nelson

05:11

Shiny: Build Robust Web Apps in Minutes with Python or R

03:04

Hadley Wickham’s Favorite R Tidyverse Libraries

01:26:09

779: The Tidyverse of Essential R Libraries and their Python Analogues — with Dr. Hadley Wickham

06:09

Automating Filmmaking with Sora-like Tools

09:45

Augmenting Human Creativity with GenAI

06:11

AI Will Make Us More Human

06:31

778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute — with Jon Krohn

02:18

What a GenAI Future Will Be Like

07:26

GenAI is Leading the Biggest Human Revolution