Jon Krohn interviews Hilke Schellmann about the ethics of recruitment algorithms, the field’s current state of play, and what can be improved about AI used in recruiting.Additional materials: www.superdatascience.com/752Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Venture capital and AI, and how to succeed with an AI company in 2024: Rasmus Rothe, Cofounder of Merantix, speaks to Jon Krohn about the Merantix campus in Berlin, how a venture capitalist identifies the best AI startups, the surefire ways for AI company founders to raise venture capital, and the jobs that are most and least vulnerable to disruption by automation.This episode is brought to you by Oracle NetSuite business software, by QuickChat customized AI assistants, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• How Merantix started [05:17]• How does Merantix work and how to apply for funding [08:19]• How to secure AI funding [21:02]• How AI companies can prove competitiveness [33:46]• Ensuring AI regulation [41:17]• How AI will change the future of work [56:56]Additional materials: www.superdatascience.com/751

Explore the transformative power of AI in science. Jon Krohn reviews the groundbreaking AI-driven discoveries at MIT and beyond, showcasing how AI is reshaping various scientific fields, from pharmaceuticals to climate science, and pondering the balance between AI's capabilities and human ingenuity.Additional materials: www.superdatascience.com/750Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Data science for clean energy takes center stage as Emily Pastewka from Palmetto joins Jon Krohn this week, exploring innovative paths to a sustainable future. This episode covers the impact of AI on smart energy choices, the creation of a smart grid, and the wide array of professionals required to bring cleantech data solutions to life.This episode is brought to you by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Emily on her Master's in Deep Learning [08:20]• Using AI to solve clean energy challenges at Palmetto [17:22]• The different roles needed to solve cleantech problems [27:33]• How econometrics impacts consumer decision-making [38:56]• How Emily manages high-performing teams [56:30]• The tools and technologies that drive small teams [1:06:58]Additional materials: www.superdatascience.com/749

Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.Additional materials: www.superdatascience.com/748Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Attention and transformers in LLMs, the five stages of data processing, and a brand-new Large Language Models A-Z course: Kirill Eremenko joins host Jon Krohn to explore what goes into well-crafted LLMs, what makes Transformers so powerful, and how to succeed as a data scientist in this new age of generative AI.This episode is brought to you by Intel and HPE Ezmeral Software Solutions, and by Prophets of AI, the leading agency for AI experts. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Supply and demand in AI recruitment [08:30]• Kirill and Hadelin's new course on LLMs, “Large Language Models (LLMs), Transformers & GPT A-Z” [15:37]• The learning difficulty in understanding LLMs [19:46]• The basics of LLMs [22:00]• The five building blocks of transformer architecture [36:29]- 1: Input embedding [44:10]- 2: Positional encoding [50:46]- 3: Attention mechanism [54:04]- 4: Feedforward neural network [1:16:17]- 5: Linear transformation and softmax [1:19:16]• Inference vs training time [1:29:12]• Why transformers are so powerful [1:49:22]Additional materials: www.superdatascience.com/747

Jon’s continuous calendar for 2024 is here! Now in an updated format, learn about its unique layout and benefits, and how it can revolutionize your planning for the new yearAdditional materials: www.superdatascience.com/746Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field. From AI hardware accelerators to the transformative role of large language models, this episode is a treasure trove of insights for anyone interested in the future of data science. This episode is brought to you by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• Reviewing predictions for 2023 [05:56]• Sadie's trend predictions for 2024 [20:49]• 1: Hardware evolution [21:17]• 2: LLMOS [35:30]• 3: Slow-thinking model [48:18]• 4: Tool consolidation [54:46]• 5: Workforce Upheaval [58:06]• Jon's predictions [1:06:26]• 1: AI bubble bursting [1:08:11]• 2: Breakthroughs in Edge AI [1:12:22]• Sadie on her productivity planner [1:17:50]Additional materials: www.superdatascience.com/745

2023: A year of great movement and change. Technological developments have rocketed generative AI’s capabilities into the stratosphere of possibilities for future approaches to work, health, and play. Host Jon Krohn recognizes the benefits we have seen over the past year, discusses the important role we all have in ensuring ethics remains at the core of AI development and use, and he ends the year with a musical surprise for his listeners!Additional materials: www.superdatascience.com/744Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

Chatbots, large language models and generative AI: Founder of Quickchat AI Piotr Grudzień believes the key to any successful AI platform is to ensure it can be tailored to a company’s specific needs. He speaks to host Jon Krohn about helping clients generate realistic and satisfying conversations that help their customer base find what they need quickly.This episode is brought to you by Gurobi, the Decision Intelligence Leader,  and by CloudWolf, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.In this episode you will learn:• About Quickchat AI and how it works [02:46]• How to successfully set up a conversational AI [23:58]• What “temperature” is in the context of AI [38:38]• How the LLM landscape has changed in recent years [40:24]• The future of generative AI [57:43]• The advantages of an AI accelerator [1:09:38]Additional materials: www.superdatascience.com/743