Super Data Science: ML & AI Podcast with Jon Krohn

What are the risks of AI progressing beyond a point of no return? What do we stand to gain? On this Five-Minute Friday, Jon Krohn talks ‘books’ as he outlines two nonfiction works on AI and futurism by Oxford philosopher Nick Bostrom. Listen to a breakdown of Deep Utopia and Superintelligence in this episode.Additional materials: www.superdatascience.com/776Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Tech entrepreneur Aleksa Gordić discusses self-directed learning, traits for tech entrepreneurship, and the social impact of artificial superintelligence with Jon Krohn. Topics include motivating oneself to become an entrepreneur, sustainable solutions for LLMs, next major developments in AI, and why formal education needs change.

A.I. roboticist Pieter Abbeel discusses RFM-1, a groundbreaking robot arm by Covariant merging digital intelligence with the physical world. Topics include enhancing AI for real-world robotics, advanced multimodal sequence model capabilities, robot programming advancements, and limitations of current large language models.

Dr. Barrett Thomas, an award-winning Research Professor at the University of Iowa, explores the intricacies of Markov decision processes and their connection to Deep Reinforcement Learning. Discover how these concepts are applied in operations research to enhance business efficiency and drive innovations in same-day delivery and autonomous transportation systems.This episode is brought to you by Ready Tensor, where innovation meets reproducibility. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Barrett's start in operations logistics [02:27]• Concorde Solver and the traveling salesperson problem [09:59]• Cross-function approximation explained [19:13]• How Markov decision processes relate to deep reinforcement learning [26:08]• Understanding policy in decision-making contexts [33:40]• Revolutionizing supply chains and transportation with aerial drones [46:47]• Barrett’s career evolution: past changes and future prospects [52:19]Additional materials: www.superdatascience.com/773

Pytorch benefits, how to get funding for your AI startup, and managing scientific silos: In our new series for SuperDataScience, “In Case You Missed It”, host Jon Krohn engages in some “reinforcement learning through human feedback” of his own with need-to-hear sound bites from past SDS episodes!Additional materials: www.superdatascience.com/772Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Kirill Eremenko joins Jon Krohn for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.This episode is brought to you by Ready Tensor, where innovation meets reproducibility, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about decision trees [09:17]• All about ensemble models [21:43]• All about AdaBoost [36:47]• All about gradient boosting [45:52]• Gradient boosting for classification problems [59:54]• Advantages of XGBoost [1:03:51]• LightGBM [1:17:06]• CatBoost [1:32:07]Additional materials: www.superdatascience.com/771

Explore the science of confidence with Lucy Antrobus, as she unveils neuroscience-backed strategies to build and boost confidence through practice, positive energy, and the power of laughter. An essential listen for fostering unshakable self-assurance.Additional materials: www.superdatascience.com/770Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Generative AI in medicine takes center stage as Prof. Zachary Lipton, Chief Scientific Officer at Abridge, joins host Jon Krohn to discuss the significant advancements in AI that are reshaping healthcare.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• The inspiration for Zack to get started in ML and healthcare [03:56]• The hardware required to use Abridge [12:29]• The key data science projects at Abridge right now [35:05]• Abridge's tech stack [59:54]• How Abridge ensures reliability in a high-stakes setting like healthcare [1:07:29]• How Zack’s academic research cross-pollinates with his commercial ML projects [1:21:05]• How Zack’s jazz background molded his entrepreneur and data science journey [1:30:32]Additional materials: www.superdatascience.com/769

Claude 3, LLMs and testing ML performance: Jon Krohn tests out Anthropic’s new model family, Claude 3, which includes the Haiku, Sonnet and Opus models (written in order of their performance power, from least to greatest). Can it stand shoulder to shoulder with other models such as GPT-4 and Gemini 1.0 Ultra? And how important is it for machine learning practitioners to try out these models with their own benchmarks? Jon walks listeners through a test of his own in this Five-Minute Friday.Additional materials: www.superdatascience.com/768Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Jon Krohn sits down with Sebastian Raschka to discuss his latest book, Machine Learning Q and AI, the open-source libraries developed by Lightning AI, how to exploit the greatest opportunities for LLM development, and what’s on the horizon for LLMs.This episode is brought to you by the DataConnect Conference, and by Data Universe, the out-of-this-world data conference. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• All about Machine Learning Q and AI [04:13]• Sebastian Raschka’s role as Staff Research Engineer at Lightning AI [19:21]• PyTorch Lightning’s and Lightning Fabric’s capabilities [39:32]• Large language models: Opportunities and challenges [43:35]• DoRA vs LoRA [48:56]• How to be a successful AI educator [1:34:18]Additional materials: www.superdatascience.com/767