AI — Models & Research

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 6 - LLM Reasoning

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 5 - LLM tuning

Prof. Xunyu Zhou | Model-Based and Model-Free: A Tale of Two Paradigms Told from Reinforcement Le...

Prof. Huyen Pham | Optimal transport for generative diffusion modeling: bridging Schrödinger and...

Prof. David Silver | The Era of Experience

Pourquoi GPT-5.1 est une vraie avancée, et les autres dingueries du jour !

Why GPT-5.1 is a real breakthrough, and the other craziness of the day!

New ChatGPT is Severely Underrated & More AI Use Cases

MLP Live session 25T3 Week8

L7 Part 2: Bias-Variance Trade-off (Overfit-Underfit)

How To Fine-Tune A Large Language Model (Step-By-Step)

Dr. Michal Valko | Nash and Nemirovski walk into a bar: LLM alligment with Mirror Descent and Pro...

Dr. David Siska | Convergence of the actor-critic gradient flow for entropy regularised MDPs in g...

6 Things GPT-5.1 Does Better

[M2L 2025] 5.2 Diffusion models - Sander Dieleman

MLT - Week 8

Kimi-K2, China recupera el trono de la IA (Ep. 129)

Kimi-K2, China regains the AI throne (Ep. 129)

AI@UCI Workshop: 11/12/25 Linear Regression & Cross Validation

AI Energy Forecasting: How Machine Learning is Transforming the Grid?

[M2L 2025] 4.2 A Broad Introduction to Topological Deep Learning - Mathilde Papillon

The Open Source AI Model Beating GPT-5 on Agentic Performance

GPT-5.1 + Gemini 3 ont FUITÉ : C'est ÉNORME !

GPT-5.1 + Gemini 3 LEAKED: This is HUGE!

[M2L 2025] 3.3 Context: from context to capabilities - Max Bartolo

[M2L 2025] 3.2 Reinforcement Learning for LLMs - Jessica Hamrick

KIMI K2 vient de faire EXPLOSER l'industrie de l'IA : il écrase ChatGPT (et il est gratuit).

KIMI K2 has just BLOWN UP the AI industry: it crushes ChatGPT (and it's free).

De vidrios de espín a redes neuronales de grafos: lo que a física le enseñó inteligencia artificial

From spin glasses to graph neural networks: what artificial intelligence taught physics

[M2L 2025] 2.1 Emerging Challenges in NLP - Seraphina Goldfarb-Tarrant

Quantum AI — Is Machine Consciousness Already Here? | Sleepy Physicist

How to Build Workflows 10x Faster with n8n's AI Builder

History of Large Language Models and Natural Language Processing

AI Physics Deep Dive | Industrial Engineering Live Stream Series

[M2L 2025] 1.4 LLM Evaluation - Emine Yilmaz

[M2L 2025] 1.2 Modularity and Compositionality for Collaborative, Efficient ... - Ivan Vulić

[M2L 2025] 1.1 Introduction to Deep Learning and Transformers - Skanda Koppula

Alphafold2 principios capacidades y limitaciones

Alphafold2 principles capabilities and limitations

Weight Initialization | Xavier | He | Zero | Symmetry Problem | Deep Learning Part 7

MLT - Week 7 SWU

L7 Part 1: Polynomial Regression

L6 Part 2: Feature Scaling

L6 Part 1: Gradient Descent Recap

L6 Part 1: Gradient Descent Recap

Dr. Laia Domingo: Quantum machine learning enablement for life sciences