All Episodes
AI Bites: The Academic Series — 41 episodes
EP 39 | CME295 in 15 Minutes (The Full Recap)
EP 38 | CME295: Recap & Future Trends
EP 37 | CME295: LLM Evaluations
EP 36 | CME295: Agentic LLMs
EP 35 | CME295: LLM Reasoning
EP 34 | CME295: LLM Tuning
EP 33 | CME295: LLM Training
EP 32 | CME295: Large Language Models (LLMs)
EP 31 | CME295: Transformer Architecture
EP 30 | CME295: Introduction to Transformers
EP 29 | CS25 in 10 Minutes (The Full Recap)
EP 28 | CS25: Transformers for Video Generation
EP 27 | CS25: World Models for Medicine
EP 26 | CS25: Transformers in Diffusion Models
EP 25 | CS25: The Biology of LLMs
EP 24 | CS25: Artificial General Intelligence (AGI)
EP 23 | CS25: Reinforcement Learning (RL)
EP 22 | CS25: Overview of Transformers
EP 21 | Duke ML for PMs in 10 Minutes (The Full Recap)
EP 20 | Duke ML for PMs: Tree Models & Ensembles
EP 19 | Duke ML for PMs: Linear Models
EP 18 | Duke ML for PMs: Model Evaluation & Business Metrics
EP 17 | Duke ML for PMs: The Modeling Process
EP 16 | Duke ML for PMs: Machine Learning Fundamentals
EP 15 | CS21SI: AI for Social Good in 10 Minutes (The Full Recap)
EP 14 | CS21SI Finale: Reinforcement Learning & The Future of Conservation
EP 13 | CS21SI: Computer Vision & Human Agency
Title: EP 12 | CS21SI: NLP, Transformers & Automated Disinformation
Title: EP 11 | CS21SI: Deep Learning for social good
EP 10 | CS21SI Week 1: ML Basics & The Ethics of AI
CS124 in 7 minutes
CS221 in 7 minutes
EP 09 | CS221 Week 6: Bayesian Learning, Logic & Final Wrap-up
EP 08 | CS221 Week 5: Markov Networks, Bayesian Networks & Inference
EP 07 | CS221 Week 4: Games & Constraint Satisfaction Problems
EP 06 | CS221 Week 3: Structured Perceptrons, A* Search & Markov Models
EP 05 | CS221 Week 2: Optimization & The Search for Solutions
EP 04 | CS221 Week 1: AI History, Ethics & ML Foundations
EP 03 | CS124 Week 3: Speech, Recommendations & Networks
EP 02 | CS124 Week 2: Embeddings, LLMs & Transformers
EP 01 | CS124 Week 1: Words, N-grams & Information Retrieval