| Dec 18, 2025 |
MIT 6.S184 - Lecture 6 - Diffusion for Protein Generation
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| Dec 18, 2025 |
MIT 6.S184 - Lecture 5 - Diffusion for Robotics
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| Dec 18, 2025 |
MIT 6.S184 - Lecture 4 - Building an Image Generator
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| Dec 18, 2025 |
MIT 6.S184 - Lecture 3 - Training Flow and Diffusion Models
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| Dec 18, 2025 |
MIT 6.S184 - Lecture 2 - Constructing a Training Target
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| Dec 18, 2025 |
MIT 6.S184 - Lecture 1 - Generative AI with SDEs
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 18 - Diffusion Models for Discrete Data
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 17 - Discrete Latent Variable Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 16 - Score Based Diffusion Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 15 - Evaluation of Generative Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 14 - Score Based Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 13 - Score Based Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 12 - Energy Based Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 11 - Energy Based Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 10 - GANs
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 9 - GANs
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 8 - Normalizing Flows
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 7 - Normalizing Flows
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 6 - VAEs
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 5 - VAEs
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 4 - Maximum Likelihood Learning
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 3 - Autoregressive Models
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 2 - Background
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| Dec 18, 2025 |
Stanford CS236 - Deep Generative Models I 2023 I Lecture 1 - Introduction
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| Dec 15, 2025 |
Agent 08 - Building Game Simulation Agents
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| Dec 15, 2025 |
Agent 07 - Building an Agent from Scratch by AI Engineer
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| Dec 15, 2025 |
Agent 06 - Building Agents with MCP by Mahesh Murag Anthropic
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| Dec 15, 2025 |
Agent 05 - How We Build Effective Agents by Barry Zhang Anthropic
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| Dec 15, 2025 |
Agent 04 - Building and evaluating AI Agents by Sayash Kapoor AI Snake Oil
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| Dec 15, 2025 |
Agent 03 - Stanford Webinar - Agentic AI - A Progression of Language Model Usage
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| Dec 15, 2025 |
Agent 02 - Building Large Language Models by Stanford CS229
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| Dec 15, 2025 |
Agent 01 - Intro to Large Language Models by Andrej Karpathy
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| Dec 15, 2025 |
Karpathy Series - Let's build GPT from scratch
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| Dec 15, 2025 |
Karpathy Series - Let's build the GPT Tokenizer
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| Dec 15, 2025 |
Karpathy Series - Let's reproduce GPT-2
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| Dec 15, 2025 |
Karpathy Series - How I use LLMs
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| Dec 15, 2025 |
Karpathy Series - Deep Dive into LLMs like ChatGPT
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| Dec 15, 2025 |
Karpathy Series - Intro to Large Language Models
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| Dec 15, 2025 |
Karpathy Series - Bulding Makemore Part 5 - Wavenet
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| Dec 15, 2025 |
Karpathy Series - Bulding Makemore Part 4 - Becoming a Backprop Ninja
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| Dec 15, 2025 |
Karpathy Series - Bulding Makemore Part 3 - Activations, Gradients, BatchNorm
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| Dec 15, 2025 |
Karpathy Series - Bulding Makemore Part 2 - MLP
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| Dec 15, 2025 |
Karpathy Series - Building Makemore
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| Dec 15, 2025 |
Karpathy Series - Building Micrograd
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| Dec 15, 2025 |
AI Summary Series
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| Dec 8, 2025 |
CS336 Lecture 17 - Alignment - RL - Part 2
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| Dec 8, 2025 |
CS336 Lecture 16 - Alignment - RL
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| Dec 8, 2025 |
CS336 Lecture 15 - Alignment - SFT/RLHF
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| Dec 8, 2025 |
CS336 Lecture 14 - Data - Part 2
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| Dec 8, 2025 |
CS336 Lecture 13 - Data
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| Dec 8, 2025 |
CS336 Lecture 11 - Scaling laws
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| Dec 8, 2025 |
CS336 Lecture 10 - Inference
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| Dec 8, 2025 |
CS336 Lecture 9 - Scaling laws
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| Dec 8, 2025 |
CS336 Lecture 8 - Parallelism - Part 2
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| Dec 8, 2025 |
CS336 Lecture 7 - Parallelism
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| Dec 8, 2025 |
CS336 Lecture 5 - GPUs
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| Dec 8, 2025 |
CS336 Lecture 4 - Mixture of experts
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| Dec 8, 2025 |
CS336 Lecture 3 - Architectures, hyperparameters
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| Dec 8, 2025 |
CS336 Lecture 2 - PyTorch, resource accounting
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| Dec 8, 2025 |
CS336 Lecture 1 - Overview and Tokenization
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| Dec 7, 2025 |
CS336 Series - Language Modeling from Scratch
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| Oct 14, 2025 |
Less is More - Recursive Reasoning with Tiny Networks
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| Aug 8, 2025 |
GPT-5 Series - Safe Completion Training
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| Jul 23, 2025 |
Personalized LLMs
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| Mar 15, 2025 |
MS-Diffusion - Multi-subject Zero-shot Image Personalization with Layout Guidance (ICLR 2025)
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| Mar 14, 2025 |
Unlearning LLMs
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| Mar 8, 2025 |
The Foundations and Frontiers of Diffusion Models
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| Feb 28, 2025 |
FineStyle - Fine-grained Controllable Style Personalization for Text-to-image Models (NeurIPS 2024)
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| Feb 27, 2025 |
DreamStyler - Paint by Style Inversion with Text-to-Image Diffusion Models (AAAI-2024)
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| Feb 21, 2025 |
Kolmogorov-Arnold Network (KAN)
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| Jan 28, 2025 |
DeepSeek-R1
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| Jan 19, 2025 |
LLM Series - Part 5 - System Design for LLMs
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| Jan 18, 2025 |
LLM Series - Part 4 - How to Jailbreak LLMs
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| Jan 17, 2025 |
LLM Series - Part 3 - Build a Chatbot with Ollama
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| Jan 16, 2025 |
LLM Series - Part 2 - Common Implementations in LLMs
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| Jan 15, 2025 |
LLM Series - Part 1 - Important Concepts in NLP
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| Jan 15, 2025 |
The LLM Series
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| Jan 15, 2025 |
The Trustworthy GenAI Series
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| Jan 14, 2025 |
Foundations of Machine Learning
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| Dec 18, 2024 |
What is Safety Checker in Stable Diffusion
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| Dec 13, 2024 |
Some notes on NeurIPS 2024
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| Nov 18, 2024 |
Random Thoughts and Notes
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| Jul 26, 2024 |
Connection between Flatness and Generalization
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| Jul 9, 2024 |
Trustworthy and Safety AI Resources
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| Jul 1, 2024 |
Comparing Implementations of Diffusion Models - HuggingFace Diffusers vs. CompVis Stable Diffusion
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| Jun 26, 2024 |
AdvPrompter - Fast Adaptive Adversarial Prompting for LLMs
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| May 5, 2024 |
Lesson Learned from NeurIPS 2023 Machine Unlearning Challenge
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| Apr 21, 2024 |
Unsolvable Problem Detection - Evaluating Trustworthiness of Vision Language Models
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| Apr 20, 2024 |
Universal and Transferable Adversarial Attacks on Aligned Language Models
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| Apr 19, 2024 |
Cold Diffusion - Inverting Arbitrary Image Transforms Without Noise
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| Dec 13, 2023 |
Visual Prompt Tuning
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| Oct 17, 2023 |
Tree-Ring Watermarks - Fingerprints for Diffusion Images that are Invisible and Robust
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| Oct 3, 2023 |
A Tutorial on Diffusion Models (Part 2)
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| Oct 3, 2023 |
A Tutorial on Diffusion Models (Part 1)
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| Sep 22, 2023 |
Flow Matching for Generative Modeling
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| Sep 14, 2023 |
Diffusion Models Beat GANs on Image Synthesis
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| Sep 1, 2023 |
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory
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| Aug 23, 2023 |
Anti-Personalization in Generative Models
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| Aug 10, 2023 |
Erasing Concepts from Diffusion Models
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| Aug 7, 2023 |
Textual Inversion
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| Aug 5, 2023 |
Papers Reading
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| Aug 5, 2023 |
Dreambooth and Anti-Dreambooth
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