AI — Models & Research

Stanford CS329A Self-Improving AI Agents | Part 9 | Future Research Areas

Stanford CS329A Self-Improving AI Agents | Part 7 | Self-Improvement and Deep Research Agents

Stanford CS329A Self-Improving AI Agents | Part 6 | Train Time Scaling/Scaling RL

Stanford CS329A Self-Improving AI Agents | Part 5 | Planning and Multi-Step Reasoning

Stanford CS329A Self-Improving AI Agents | Part 4 | Learning from Feedback with Tools/Code

Stanford CS329A Self-Improving AI Agents | Part 3 | Robust Verification

Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling

Stanford CS329A Self-Improving AI Agents | Part 1 | Course Overview

New BEST AI video generator is here! Seedance 2.5 vs Minimax H3

Local AI is now STUPID FAST? DeepSeek V4.07 with DSPARK 🤯

Efficient Reinforcement Learning for Diffusion Models

Distributional Diffusion Models

ASTRA, la nouvelle IA d’OpenAI : beaucoup trop puissante (la fin de l’ère GPT) !

ASTRA, OpenAI's new AI: way too powerful (the end of the GPT era)!

Understanding AI Agent Hallucination in AI Systems

OpenAI's New AI ASTRA Is Total Overkill (Ends The GPT Era)

Architectures for an AI agent for route planning and Next-Latent Prediction

You Have to Try the New ChatGPT Voice!

MLT | Week-7 | Solve with us-Decision Tree and K-NN

DeepSeek V4.07 - The NEW Ultimate LOCAL AI? Better than GLM & Claude?

A Chinese Open Model Just Hit the Frontier

Stanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)

Stanford CS229 Machine Learning | Spring 2026 | Lecture 20: GMM (EM), PCA

Stanford CS229 Machine Learning | Spring 2026 | Lecture 18: GMM (EM), PCA

Stanford CS229 Machine Learning | Spring 2026 | Lecture 16: Basic Concept in RL, Policy Gradient

Stanford CS229 Machine Learning | Spring 2026 | Lecture 14: Transformers, In-Context Learning

Stanford CS229 Machine Learning | Spring 2026 | Lecture 13: LLMs, Next-Word Prediction Loss

Stanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation Learning

Stanford CS229 Machine Learning | Spring 2026 | Lecture 11: Diffusion Models

Stanford CS229 Machine Learning | Spring 2026 | Lecture 10: GMM (EM), PCA

NO MORE $20! Free AI Coding Agent with 100+ Models Setup

Neural Network-Based Estimation of Time-Dependent Parameters || July 31, 2026

MLP Live session

Stanford CS229 Machine Learning | Spring 2026 | Lecture 8: Neural Networks 2 (Backprop)

Stanford CS229 Machine Learning | Spring 2026 | Lecture 7: Neural Networks 1 (Architecture)

Stanford CS229 Machine Learning | Spring 2026 | Lecture 6: Dataset Split, ML Advice

Stanford CS229 Machine Learning | Spring 2026 | Lecture 5: Gaussian Discriminant Analysis

Lec 18: First steps in performance

Lec 17: Data loaded & Feeding the model efficiently

Lec 16: The Training Loop

How to Check AI generated text, image and videos?