Dr. Jon Krohn

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

↗723: Mathematical Optimization — with Jerry Yurchisin
↗The Best Quantum ML Tools (for Beginners)
↗Quantum ML's Mainstream Future
↗How to Get Started in Quantum ML
↗722: AI Emits Far Less Carbon Than Humans (Doing the Same Task) — with Jon Krohn (@JonKrohnLearns)
↗Quantum Neural Networks
↗What is Quantum Machine Learning?
↗721: Quantum Machine Learning — with Dr. Amira Abbas
↗Synesthesia: Seeing Numbers as Colors (Helps with Math)
↗The Beauty of Linear Algebra
↗How Pterodactyls Inspire Airplane Innovations
↗720: OpenAI’s DALL-E 3, Image Chat and Web Search — with Jon Krohn (@JonKrohnLearns)
↗Computational Mathematics: Real-World Applications
↗What is Computational Mathematics? How Does It Relate to Data Science?
↗719: Computational Mathematics and Fluid Dynamics — with Prof. Margot Gerritsen
↗The Global Issues that A.I. Can't Fix
↗ML Auto-Retraining: Update Your Model in Real Time
↗2 Ways to Make Your ML Model Resilient
↗718: ChatGPT Custom Instructions: A Major, Easy Hack for Data Scientists — with @JonKrohnLearns
↗Are False Positives or False Negatives Worse in Cybersecurity?
↗The 3 Kinds of ML Models to Tackle Cyberattacks
↗717: Overcoming Adversaries with A.I. for Cybersecurity — with Dr. Dan Shiebler
↗What is Simpson's Paradox? Disappearing Statistical Phenomena Explained.
↗Overton Window: We can Predict How Your Beliefs Will Change Over Your Life
↗What are Black Swan Events? How do we Prepare for Them?
↗716: Happiness and Life-Fulfillment Hacks — with Annie P.
↗Are you Normal? Nope, Nobody is! Here are the Statistics on Why
↗What is Survival Analysis and Why is it Crucial Across Many Industries?
↗715: Make Better Decisions with Data — with Dr. Allen Downey
↗Are LLMs the Future or Something Else? (Large Language Models)
↗Is AGI Around the Corner? (Artificial General Intelligence)
↗Galactica: The Science-Specific LLM and Why It Was Brought Down
↗714: Using A.I. to Overcome Blindness and Thrive as a Data Scientist — with Tim Albiges
↗Toolformer: LLM That Learns How to Use External Tools
↗Llama 2: Behind the Scenes of Today’s Top Open-Source LLM
↗713: Llama 2, Toolformer and BLOOM: Open-Source LLMs — with Meta's Dr. Thomas Scialom
↗2 Tips for Training LLMs More Efficiently
↗What are Neural Radiance Fields (NeRF)?
↗How do DDPMs relate to Stable Diffusion? (Denoising Diffusion Probabilistic Models; Midjourney)
↗712: Code Llama — with Jon Krohn (@JonKrohnLearns)
↗How Long Until Video Generation is Lifelike?
↗Multimodal Models in Creative General Intelligence
↗711: Image, Video and 3D-Model Generation from Natural Language — with Dr. Ajay Jain
↗t-SNE's Inventor Explains Dimensionality Reduction (Dr. Laurens van der Maaten)
↗Fisher Information Loss vs Differential Privacy
↗CrypTen: PyTorch-like Library, With Encrypted Computations
↗710: LangChain: Create LLM Applications Easily in Python — with Kris Ograbek (@krisograbek)
↗How AI Can Help Tackle Climate Change
↗Language Models Generate New Proteins! Here's How.
↗709: Big A.I. R&D Risks Reap Big Societal Rewards — with Meta's Dr. Laurens van der Maaten
↗3 Ways AI Will Positively Impact Society in the Coming Decades
↗Open- vs Closed-Source LLMs: Which is Better?
↗Gorilla: The Open-Source ChatGPT Plugin Alternative
↗708: ChatGPT Code Interpreter: 5 Hacks for Data Scientists — with Jon Krohn (@JonKrohnLearns)
↗Chatbot Arena: The Leading LLM Leaderboard
↗Vicuña: How the Revolutionary LLM Came to Be
↗707: Vicuña, Gorilla, Chatbot Arena and Socially Beneficial LLMs — with Prof. Joey Gonzalez
↗2 Ways You Can Use A.I. to Help Feed the World
↗When will A.I. Transform Food Production?
↗What is Generative Chemistry?
↗706: Large Language Model Leaderboards and Benchmarks — with Caterina Constantinescu
↗What Is Computational Agronomy?
↗What is Precision Agriculture?
↗705: ML-Powered Precision Agriculture — with Feroz Sheikh, Jeremy Groeteke, and Thomas Jung
↗A.I.'s Impact on Journalism (per NY Times' Chief Data Scientist Chris Wiggins)
↗The NY Times' Data Science Tech Stack
↗Computational Biology's A.I. Transformation
↗704: Jon’s “Generative A.I. with LLMs” Hands-on Training — with Jon Krohn (@JonKrohnLearns)
↗Bayesian Stats: How It Became Controversial
↗Data Science's Early History
↗703: How Data Happened: A History — with Columbia Prof. Chris Wiggins
↗Academia + Entrepreneurship: The Perfect Career for You?
↗Closed-Source vs. Open-Source AI Development
↗Stanford's Iconic A.I. Research Labs: RISE and SkyLab
↗702: Llama 2 — It's Time to Upgrade your Open-Source LLM — with Jon Krohn (@JonKrohnLearns)
↗Resolving the LLM User-Privacy Issue: How to Train Generative A.I. while Keeping Data Confidential
↗Confidential Computing: What It Is and How It Works
↗701: Generative A.I. without the Privacy Risks — with Prof. Raluca Ada Popa
↗Real-time ML Monitoring with BI Tools (Looker, Tableau): Good or Bad Idea?
↗dbt is Great for ML Orchestration
↗How to Run ML Models with Snowflake and Redshift
↗700: "The Dream of Life" by Alan Watts — with Jon Krohn (@JonKrohnLearns)
↗Three Production ML Best Practices: CI/CD, Load Balancing and Logging
↗Version Control for Data Scientists
↗699: The Modern Data Stack — with Harry Glaser
↗Artificial Super Intelligence's Links to Human Consciousness: Ben Goertzel's Vision of the Future
↗The Societal Implications of AGI (Artificial General Intelligence)
↗A Path Toward AGI: Neuro-Symbolic Systems, Evolutionary Learning and Knowledge Graphs
↗698: How Firms Can Actually Adopt A.I. — with Rehgan Avon
↗The SingularityNET Ecosystem
↗Will AGI be Benevolent or Evil?
↗697: The (Short) Path to Artificial General Intelligence — with Dr. Ben Goertzel
↗Hugging Face Libraries: How and Where to Start
↗Reinforcement Learning from Human Feedback (RLHF)
↗How to Make LLMs Efficient in Production
↗696: Brain-Computer Interfaces and Neural Decoding — with Prof. Bob Knight
↗How to Automatically Label Natural Language Data
↗The Transformer: What Is It and Why It's Important for NLP
↗695: NLP with Transformers — with Hugging Face's Lewis Tunstall
↗How to Learn Deep Learning