AI — Models & Research

Bin Yu — Understanding Deep Learning Models via Interaction Importance (Sept. 25, 2025)

Alejandro Ribeiro — Spectral Analyses of Graph Neural Networks (Sept. 26, 2025)

[ИАД, осень 2025] Математические методы прогнозирования. Лекция 5

[IAD, Fall 2025] Mathematical Forecasting Methods. Lecture 5

Stanford CS230 | Autumn 2025 | Lecture 4: Adversarial Robustness and Generative Models

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 4 - LLM Training

Révolutionnez votre créativité avec le nouveau Google AI Studio : création multimodale en un clic !

Revolutionize your creativity with the new Google AI Studio: multimodal creation in one click!

Investigación con consumidores sintéticos, RLMs, StreamingVLM

Research with synthetic consumers, RLMs, StreamingVLM

A Pragmatist’s Guide to Building Knowledge Graphs from Unstructured Data | Alessandro Pireno

[ИАД, осень 2025] Методы глубокого обучения. Лекция 7: Segmentation

[IAD, autumn 2025] Deep learning methods. Lecture 7: Segmentation

The Efficiency Equation: Leveraging AI Agents to Augment Human Labelers | Madhu Ramanathan, Meta

Machine Learning Explained: A Guide to ML, AI, & Deep Learning

LLM Inference: A Comparative Guide to Modern Open-Source Runtimes | Aleksandr Shirokov, Wildberries

From Benchmarks to Reality: Embedding HITL in Your MLOps Stack | Micaela Kaplan, HumanSignal

Autonomous MLOps Pipelines:Architecting Self-Healing, Drift Resistant Models | Kamal Bisht, Discover

Agentic AI Command Center: Gateways for GenAI & MCP Integration | Nikunj Bajaj, TrueFoundry

Adversarial Threats Across the ML Lifecycle: A Red Team Perspective | Sanket Badhe, TikTok

A Practical Field Guide to Optimizing Cost, Speed & Accuracy of LLMs | Niels Bantilan, Union.ai

5 Prompting Tricks to Make Your AI Less Average

L5 Gradient Vector Cost Functions MSE MAE LR Effect SGD Minibatch

L5 Gradient Vector Cost Functions MSE MAE LR Effect SGD Minibatch

L4 Gradient Descent GD Part 1

L4 Gradient Descent GD Part 1

L3 Normal Equation RSS RSE R2

L3 Normal Equation RSS RSE R2

L2 Introduction to ML (continued), Simple & Multiple Linear Regression

L2 Introduction to ML (continued), Simple & Multiple Linear Regression

Episode 9 - Inverse Reinforcement Learning

DeepSeek : la Chine réécrit-elle les règles de l’IA ? | Avec David Gurlé

DeepSeek: Is China Rewriting the Rules of AI? | With David Gurlé

ChatGPT fait du CHANTAGE : OpenAI avoue ne plus comprendre

ChatGPT does BLACKMAIL: OpenAI admits it no longer understands

[ИАД, осень 2025] Байесовский выбор моделей. Лекция 6: Байесовская логистическая регрессия

[IAD, Fall 2025] Bayesian Model Selection. Lecture 6: Bayesian Logistic Regression

[Video Response] What Cloudflare's code mode misses about MCP and tool calling

Week 4 Solve with us

ML Lagos Study Group Onboarding October Cohort

I Tried Every New Veo 3.1 Trick - Wow

AI training data will never be fully synthetic [SPONSORED]

Veo 3.1, OpenAI, DeepMind y la carrera por una IA que entienda el mundo

Veo 3.1, OpenAI, DeepMind and the race for an AI that understands the world

Veo 3.1 fully tested

T3 Kaggle Assignment Introduction

Superinteligencia, la nueva palabra de moda

Superinteligencia, la new buzzword

Stanford Global Alumni Webinar | August 2025 | AI Agent Simulation of Human Behavior

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 3 - Tranformers & Large Language Models

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 2 - Transformer-Based Models & Tricks

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 1 - Transformer

Stabilizing PDE-ML system || How Does Neural Network Training Work || Oct 17, 2025