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Unofficial, machine-generated summaries, as of 2026-11-09.
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Page 31 of 41
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Dr. Jon Krohn
↗
What is Machine Vision?
2023-07-05
Dr. Jon Krohn
↗
693: YOLO-NAS: The State of the Art in Machine Vision — with Harpreet Sahota
2023-07-04
Dr. Jon Krohn
↗
AWS Neuron: The Deep Learning-Accelerating SDK
2023-07-03
Dr. Jon Krohn
↗
The Trainium Ultra Cluster (for Large Language Models)
2023-07-02
Dr. Jon Krohn
↗
Trainium and Inferentia: AWS's A.I. Accelerators
2023-07-01
Professor G Markets
↗
Truth
2023-06-30
Dr. Jon Krohn
↗
692: Lossless LLM Weight Compression: Run Huge Models on a Single GPU — with Jon Krohn
2023-06-30
Dr. Jon Krohn
↗
GPUs vs TPUs vs IPUs
2023-06-29
Dr. Jon Krohn
↗
CPUs vs GPUs
2023-06-28
Dr. Jon Krohn
↗
691: A.I. Accelerators: Hardware Specialized for Deep Learning — with Ron Diamant
2023-06-27
Dwarkesh Patel
↗
Carl Shulman (Pt 2) — AI Takeover, bio & cyber attacks, detecting deception, & humanity's far future
2023-06-26
Dr. Jon Krohn
↗
Phoenix: Open-source Library for Comparing Embeddings
2023-06-24
Professor G Markets
↗
Origin Story
2023-06-23
Dr. Jon Krohn
↗
690: How to Catch and Fix Harmful Generative A.I. Outputs — with Krishna Gade
2023-06-23
Dr. Jon Krohn
↗
ML Observability vs ML Monitoring: What's the difference?
2023-06-22
Dr. Jon Krohn
↗
Drift: What It Is, Types of Drift and Why It Should Be Monitored
2023-06-21
Dr. Jon Krohn
↗
689: Observing LLMs in Production to Automatically Catch Issues — with Amber Roberts and Xander Song
2023-06-20
Dr. Jon Krohn
↗
GANs: Generative Adversarial Networks
2023-06-19
Dr. Jon Krohn
↗
How World Models Blend Generative AI with Reinforcement Learning
2023-06-18
Dr. Jon Krohn
↗
What CLIP models are (Contrastive Language-Image Pre-training)
2023-06-17
Professor G Markets
↗
Techno-Narcissism
2023-06-16
Dr. Jon Krohn
↗
688: Six Reasons Why Building LLM Products Is Tricky — with Jon Krohn (@JonKrohnLearns)
2023-06-16
Dr. Jon Krohn
↗
Autoencoders Explained
2023-06-15
Dr. Jon Krohn
↗
Generative AI for Music
2023-06-14
Dwarkesh Patel
↗
Carl Shulman (Pt 1) — Intelligence explosion, primate evolution, robot doublings, & alignment
2023-06-14
Dwarkesh Patel
↗
Contra Marc Andreessen on AI
2023-06-13
Dr. Jon Krohn
↗
687: Generative Deep Learning — with David Foster
2023-06-13
Dr. Jon Krohn
↗
Why All Data Scientists Should Write (in Public)
2023-06-10
Professor G Markets
↗
Isn’t That Spatial?
2023-06-09
Dr. Jon Krohn
↗
686: Open-Source "Responsible A.I." Tools — with Ruth Yakubu
2023-06-09
Dr. Jon Krohn
↗
Building an App with Real-Time Data Streaming? Consider These Two Platforms.
2023-06-08
Dr. Jon Krohn
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What is a Machine Learning Architect?
2023-06-07
Dr. Jon Krohn
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685: Tools for Building Real-Time Machine Learning Applications — with Richmond Alake
2023-06-06
Dr. Jon Krohn
↗
Israel's A.I. R&D Edge
2023-06-04
Dr. Jon Krohn
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Leadership Opportunities for Women in STEM
2023-06-03
Professor G Markets
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Yes
2023-06-02
Dr. Jon Krohn
↗
684: Get More Language Context out of your LLM — with Jon Krohn (@JonKrohnLearns)
2023-06-02
Dr. Jon Krohn
↗
How to Monitor Live-Streaming Content and Analyze It for Dangerous Material
2023-06-01
Dr. Jon Krohn
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Using A.I. to Moderate Platform Content
2023-05-31
Dr. Jon Krohn
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683: Contextual A.I. for Adapting to Adversaries — with Dr. Matar Haller
2023-05-30
Dr. Jon Krohn
↗
XGBoost Prerequisites: What You Should Know Before You Try XGBoost
2023-05-29
Dr. Jon Krohn
↗
When Not to Use XGBoost
2023-05-28
Dr. Jon Krohn
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When to Use XGBoost
2023-05-27
Professor G Markets
↗
Goals
2023-05-26
Dr. Jon Krohn
↗
682: Business Intelligence Tools — with Mico Yuk
2023-05-26
Dr. Jon Krohn
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XGBoost's Most Important Hyperparameters
2023-05-25
Dr. Jon Krohn
↗
What is XGBoost
2023-05-24
Dr. Jon Krohn
↗
681: XGBoost: The Ultimate Classifier — with Matt Harrison
2023-05-23
Dwarkesh Patel
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Richard Rhodes — The making of the atomic bomb
2023-05-23
Dr. Jon Krohn
↗
How Generative AI will Impact the Labor Market
2023-05-22
Dr. Jon Krohn
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Product-Led Growth: The Key to Rapid SaaS Expansion
2023-05-21
Dr. Jon Krohn
↗
The Risks for Generative A.I. Founders and Investors
2023-05-20
Professor G Markets
↗
Struck
2023-05-19
Dr. Jon Krohn
↗
680: Automating Industrial Machines with Data Science and the IoT — with Allegra Alessi
2023-05-19
Dr. Jon Krohn
↗
The Four Layers of the Generative AI Stack
2023-05-18
Dr. Jon Krohn
↗
How RLHF Makes Apps More Intuitive (Reinforcement Learning from Human Feedback)
2023-05-17
Dr. Jon Krohn
↗
679: The A.I. and Machine Learning Landscape — with investor George Mathew
2023-05-16
Dr. Jon Krohn
↗
How A.I. will transform analytics
2023-05-15
Dr. Jon Krohn
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The secret to Google Analytics: Machine Learning
2023-05-14
Dr. Jon Krohn
↗
Incrementality-centric marketing
2023-05-13
Professor G Markets
↗
AiLONE
2023-05-12
Dr. Jon Krohn
↗
678: StableLM: Open-source "ChatGPT"-like LLMs you can fit on one GPU — with @JonKrohnLearns
2023-05-12
Dr. Jon Krohn
↗
Coding skills are an executive's superpower in this data-rich world
2023-05-11
Dr. Jon Krohn
↗
Brand analytics vs performance analytics: What's the difference?
2023-05-10
Dr. Jon Krohn
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677: Digital Analytics — with Avinash Kaushik
2023-05-09
Dr. Jon Krohn
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What it’s like being a software engineer at Bloomberg
2023-05-08
Dr. Jon Krohn
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Where data analysts should start their learning journey
2023-05-07
Dr. Jon Krohn
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The secrets of matplotlib's ticker module
2023-05-06
Professor G Markets
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Storytelling
2023-05-05
Dr. Jon Krohn
↗
676: The Chinchilla Scaling Laws — with Jon Krohn (@JonKrohnLearns)
2023-05-05
Dr. Jon Krohn
↗
Should you plot with pandas, matplotlib, or seaborn?
2023-05-04
Dwarkesh Patel
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Lessons from The Years of Lyndon Johnson by Robert Caro
2023-05-03
Dr. Jon Krohn
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3 top tips for pandas data wrangling
2023-05-03
Dr. Jon Krohn
↗
675: Pandas for Data Analysis and Visualization — with Stefanie Molin
2023-05-02
Dr. Jon Krohn
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To learn from their data, companies should do this
2023-05-01
Dr. Jon Krohn
↗
How are no-code and low-code tools impacting data science?
2023-04-30
Dr. Jon Krohn
↗
What do companies that successfully adopt data pipelines have in common?
2023-04-29
Professor G Markets
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The Mother of All Pivots
2023-04-28
Dr. Jon Krohn
↗
674: Parameter-Efficient Fine-Tuning of LLMs using LoRA (Low-Rank Adaptation) — with Jon Krohn
2023-04-28
Dr. Jon Krohn
↗
Data pipelines are evolving rapidly. This is how.
2023-04-27
Dr. Jon Krohn
↗
What are Taipy GUI and Taipy Core? Open-source Python web app-building tools
2023-04-26
Dr. Jon Krohn
↗
673: Taipy, the open-source Python application builder — with Vincent Gosselin
2023-04-25
Dr. Jon Krohn
↗
Why you should obtain AWS Certification
2023-04-24
Dr. Jon Krohn
↗
Essential Machine Learning tools in AWS
2023-04-23
Dr. Jon Krohn
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All data scientists should know these AWS database services
2023-04-22
Professor G Markets
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Guardrails
2023-04-21
Dr. Jon Krohn
↗
672: Open-source "ChatGPT": Alpaca, Vicuña, GPT4All-J, and Dolly 2.0 — with @JonKrohnLearns
2023-04-21
Dr. Jon Krohn
↗
All data scientists should know these AWS compute and storage services
2023-04-20
Dr. Jon Krohn
↗
Why cloud skills are essential for data scientists
2023-04-19
Dr. Jon Krohn
↗
671: Cloud Machine Learning — with Kirill Eremenko and Hadelin de Ponteves
2023-04-18
Dr. Jon Krohn
↗
Do computer scientists make good product managers?
2023-04-17
Dr. Jon Krohn
↗
Batch vs stream processing: Which one should you use?
2023-04-16
Dr. Jon Krohn
↗
2 real-world applications of reactive data processing
2023-04-15
Professor G Markets
↗
Scarcity
2023-04-14
Dr. Jon Krohn
↗
670: LLaMA: GPT-3 performance, 10x smaller — with Jon Krohn (@JonKrohnLearns)
2023-04-14
Dr. Jon Krohn
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Reactive data processing + IoT = resilient real-world systems
2023-04-13
Dr. Jon Krohn
↗
What is reactive data processing?
2023-04-12
Dr. Jon Krohn
↗
669: Streaming, reactive, real-time machine learning — with Adrian Kosowski
2023-04-11
Dr. Jon Krohn
↗
Post-GPT-4: What commercial A.I. opportunities are coming next?
2023-04-10
Dr. Jon Krohn
↗
GPT-4: How to accelerate data science with generative A.I.
2023-04-09
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Page 31 of 41
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