Dr. Jon Krohn

Unofficial, machine-generated summaries, as of 2026-11-09.

↗Your High IQ Won't Help Much in the C-Suite
↗Why do CDOs Have Such High Turnover? (Chief Data Officers)
↗781: Ensuring Successful Enterprise AI Deployments — with Sol Rashidi
↗Quarto: Text + Code Documents Made Easy and Beautiful
↗Why Did RStudio Become Posit?
↗Hadley Wickham on R vs Python
↗780: How to Become a Data Scientist — with Dr. Adam Ross Nelson
↗Shiny: Build Robust Web Apps in Minutes with Python or R
↗Hadley Wickham’s Favorite R Tidyverse Libraries
↗779: The Tidyverse of Essential R Libraries and their Python Analogues — with Dr. Hadley Wickham
↗Automating Filmmaking with Sora-like Tools
↗Augmenting Human Creativity with GenAI
↗AI Will Make Us More Human
↗778: Mixtral 8x22B: SOTA Open-Source LLM Capabilities at a Fraction of the Compute — with Jon Krohn
↗What a GenAI Future Will Be Like
↗GenAI is Leading the Biggest Human Revolution
↗777: Generative AI in Practice — with Bernard Marr (@bernardmarr)
↗How AI Will Overhaul Education Completely
↗Next Steps in the AGI Evolution
↗Here's How to Choose Your Next AI Project
↗776: Deep Utopia: AI Could Solve All Human Problems in Our Lifetime — with @JonKrohnLearns
↗Technical Founders Are the Best Startup Founders
↗Should You Be an AI Entrepreneur? (Or Play it Safe in Big Tech?)
↗775: What will humans do when machines are vastly more intelligent? — with Aleksa Gordić
↗Can Same-Day Deliveries Get Even Faster?
↗Logistics Isn't Boring: It's Packed with Interesting, Complex ML
↗The Surprising New Drone Trick for Efficient Delivery
↗774: RFM-1 Gives Robots Human-like Reasoning and Conversation Abilities — with @JonKrohnLearns
↗The Markov Decision Process Explained
↗Improving Delivery Logistics with AI
↗773: Deep Reinforcement Learning for Maximizing Profits — with Prof. Barrett Thomas
↗CatBoost 101: Categorical Gradient Boosting Explained
↗LightGBM 101: Faster Gradient Boosting for Large-Scale ML
↗XGBoost 101: eXtreme Gradient Boosting eXplained
↗772: In Case You Missed It in March 2024 — with Jon Krohn (@JonKrohnLearns)
↗Gradient Boosting 101
↗Decision Trees 101
↗771: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko
↗Why Medical LLMs Face Headwinds
↗770: The Neuroscientific Guide to Confidence — with Lucy Antrobus
↗Roadmap from AI Startup to Long-Term Success
↗Abridge AI Relieves Doctors of Admin Work
↗769: Generative AI for Medicine — with Prof. Zack Lipton
↗The 3 Best Alternatives to RLHF
↗Multi-Query vs Multi-Head Attention
↗DoRA: Faster than LoRA for Fine-Tuning LLMs
↗768: Is Claude 3 Better than GPT-4? — with Jon Krohn (@JonKrohnLearns)
↗LitGPT: The LLM Library for Minimalists
↗How Lightning AI Makes LLMs Easy
↗767: Open-Source LLM Libraries and Techniques — with Dr. Sebastian Raschka
↗The Future of Python Scientific Computing
↗Writing Code Makes You Think Better. Here's How.
↗What is Numba? The Python Compiler Explained
↗766: Vonnegut's Player Piano (1952): An Eerie Novel on the Current AI Revolution — with Jon Krohn
↗The NumPy Origin Story
↗The SciPy Origin Story
↗765: NumPy, SciPy and the Economics of Open-Source — with Dr. Travis Oliphant
↗AI Moves Fast. Here's 3 Tricks for Staying Up to Date
↗Would a Venture Capitalist Invest in You? Do You Have What It Takes?
↗What is Generative AI Model Collapse? How Can We Stop It?
↗764: The Top 10 Episodes of 2023 — with Jon Krohn (@JonKrohnLearns)
↗Will Generative AI Replace Software Developers?
↗The AI Palette is Your Easy Guide to All of Machine Learning
↗763: The Best AI Startup Opportunities — with venture capitalist Rudina Seseri
↗The 3 Steps of LLM Training
↗762: Gemini 1.5 Pro, the Million-Token-Context LLM — with Jon Krohn (@JonKrohnLearns)
↗Generative AI Means Coders Must Think Like Product Managers
↗Gemini Ultra, Google's Most Powerful LLM, is Now Public
↗761: Gemini Ultra: How to Release an AI Product for Billions of Users — with Google's Lisa Cohen
↗What is an SOS Token in Transformers?
↗Masking During Transformer Inference Matters a Lot (Buy Why?)
↗Encoder-Decoder Transformers vs Decoder-Only vs Encoder-Only: Pros and Cons
↗760: Humans Love AI-Crafted Beer — with Jon Krohn (@JonKrohnLearns)
↗How Cross-Attention Works in Transformers
↗How Decoder-Only Transformers (like GPT) Work
↗759: Full Encoder-Decoder Transformers Fully Explained — with Kirill Eremenko
↗The Perfect Pro Setup for Virtual Talks
↗Want a Great Presentation? Structure It (Here's How)
↗Story-fy Your Facts to Captivate Your Audience
↗758: The Mamba Architecture: Superior to Transformers in LLMs — with Jon Krohn (@JonKrohnLearns)
↗The Top 6 Tricks for Persuasive Speaking
↗Shy? Here's How to Be a Confident Speaker
↗757: How to Speak so You Blow Listeners' Minds — with Cole Nussbaumer Knaflic
↗Messing with LLMs' Temperature Hyperparameter
↗Finally, Deep Learning for Tabular Data: The TabPFN Transformer
↗How AI Crafted the Perfect Beer
↗756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds — with @JonKrohnLearns
↗Becoming a Cicerone (Certified Beer Expert)
↗755: Brewing Beer with AI — with Beau Warren
↗Why Most AI Projects Fail
↗Are "Citizen Data Scientists" Real?
↗Pypelines: AutoML Open-Source in Python
↗754: A Code-Specialized LLM Will Realize AGI — with Jason Warner
↗Collaborative Data Science: Challenges and Benefits
↗Zerve: Collaborate in Any Programming Language and Deploy Without Rewriting Code
↗753: Blend Any Programming Languages in Your ML Workflows — with Dr. Greg Michaelson
↗What Jobs Are at Risk from AI?
↗The 5 Advantages European Startups Have
↗3 Ways to Stay Ahead in an AI World
↗752: AI is Disadvantaging Job Applicants, But You Can Fight Back — with Hilke Schellmann