AI Bites: The Academic Series

Short on time? We’ve distilled the entire Stanford CME295 course into a single, high-energy video recap. This "Cram Session" takes you on a complete journey from the absolute basics of natural language processing to the cutting edge of Large Language Models.Watch or listen for the "Best Of" our course deep dives:The Foundation: Moving past RNNs into the Self-Attention revolution and the core Transformer architecture.The Training Pipeline: The massive undertaking of Pre-training, Supervised Fine-Tuning (SFT), and Preference Tuning to build a safe assistant.Reasoning & Agents: How models use Chain of Thought to solve multi-step problems , and how RAG and Tool Calling turn them into autonomous agents.The Future: A look at what's next, including Vision Transformers (ViT), Diffusion LLMs, and highly capable Small Language Models (SLMs).Note: This is an AI-generated study resource created via NotebookLM based on the Stanford CME295 curriculum and personal study notes.

Short on time? We’ve distilled the entire Duke University "Machine Learning Foundations for Product Managers" course into a single 10-minute recap. This is the ultimate PM "Cram Session" for bridging the gap between business strategy and data science.Watch or listen for the "Best Of" our course deep dives:The Core Vocabulary: Features, labels, and the 3 types of ML.The Modeling Process: The 5 strategic steps to get a model into production.Model Evaluation: The Precision vs. Recall trade-off and surviving the "Accuracy Trap."Model Selection: Knowing when to use Linear Models versus Tree Models.Note: This is an AI-generated study resource created via NotebookLM based on Duke University’s ML for Product Managers curriculum and personal study notes.

A quick and easy way to understand CS124 in a quick video byte. Generated by Google NotebookLM using my personal class notes.