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— René Descartes

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Free Problems
Getting Started with Pre-Calculus
This problem set covers fundamental pre-calculus concepts including algebraic skills, number systems, function types, and operations on real numbers and functions. These problems will help you build the foundational knowledge needed for success in pre-calculus.
21 pts Medium 94 number-systems real-numbers classification +7
Part 1 (LLDM)
This problem set covers key concepts from Chapter 1 on Large Language Diffusion Models (LLDM), focusing on the LLaDA model architecture, probabilistic formulation, training procedures, and comparative analysis with autoregressive models. The problems test understanding of diffusion-based language modeling principles, scalability, and unique capabilities of LLaDA.
31 pts Medium 102 llm-architecture diffusion-models autoregressive-models +7
Part 2 (LLDM)
This problem set covers key concepts from Part 1 of the research paper on Masked Diffusion Models (LLDM), focusing on the theoretical foundations, training algorithms, and inference methods for masked diffusion language models. The problems test understanding of the forward and reverse processes, loss functions, sampling strategies, and connections to autoregressive models.
24 pts Medium 96 forward-process masked-diffusion probability-distribution +7
Part 3 (LLDM)
This problem set covers key concepts from Part 3 of the LLaDA research paper, focusing on flexible sampling strategies, experimental setups, and performance analysis of the LLaDA diffusion language model. The problems test understanding of different sampling methods, remasking strategies, and evaluation metrics discussed in this part of the paper.
24 pts Medium 103 sampling-strategies diffusion-models autoregressive +7
Chapter 1 (AGCMQM)
This problem set covers key concepts from Chapter 1 on Automated Generation of Curriculum-Aligned Multiple-Choice Questions for Malaysian Secondary Mathematics using Generative AI. The problems test understanding of RAG methodologies, evaluation frameworks, and the challenges of generating educational content in low-resource language contexts.
12 pts Easy 105 rag-methodology curriculum-alignment low-resource-languages +7
Chapter 1 (RMFFEQ)
This problem set covers the key concepts from Chapter 1 (RMFFEQ) - A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMs. The chapter presents a novel framework using three specialized agents (Base Generator, Evidence Retriever, and Expert Reviewer) to enhance financial question answering performance. These problems test understanding of the framework architecture, experimental results, and underlying concepts in financial QA systems.
30 pts Medium 100 multi-agent-framework architecture financial-qa +7
Premium Problems
Python I/O and Data Pipeline Assessment - Part 4
20 questions focused on PyTorch Dataset/DataLoader design: map/iterable datasets, transforms, custom collate/padding, worker seeding/sharding, num_workers/pin_memory/prefetch_factor, caching, memmap/shared memory, batching by size, profiling, and performance tuning.
10.00 60 pts Medium 98 torch.utils.data.dataset pytorch dataset +7
Chapter 02 - Numeric Python
This problem set covers key concepts from Chapter 2: Vectors, Matrices, and Multidimensional Arrays. The problems test understanding of NumPy array fundamentals, including array creation, indexing, slicing, operations, and vectorized computing. Each question is designed to reinforce the core concepts presented in the chapter.
5.00 26 pts Medium 97 numpy-arrays array-attributes shape +7
USAAIO 2025 R1P3 - Logistic Regression Implementation
This problem focuses on implementing logistic regression from scratch using the Titanic dataset. You will work through data pre-processing, mathematical derivations, and implement both gradient descent and Newton's method for logistic regression. The dataset contains passenger information from the Titanic, and your goal is to predict survival based on various features.
10.00 48 pts Easy 93 data-loading pandas data-exploration +7
USAAIO 2025 R1P2 - Basics of Neural Network - From Linear Regression to DNN Training
This problem is about the basics of neural network. Each part has its particular purpose to intentionally test you something. Do not attempt to find a shortcut to circumvent the rule. And all coding tasks shall run on CPUs, **not GPUs**.
10.00 36 pts Easy 96 learning-rate-scheduler pytorch optimization +12
USAAIO 2025 R1P1 - Fibonacci Matrix Form
Let us consider the following sequence: $$ F_n = F_{n-1} + F_{n-2},\ \forall\ n \ge 2. $$
8.00 27 pts Medium 96 fibonacci sequence linear algebra matrix form +7
IAIO 2024 Part 2 - Machine Learning Algorithms and Deep Learning
This problem covers the remaining categories of the 2024 International Artificial Intelligence Olympiad (IAIO), focusing on machine learning algorithms and deep learning. You'll work through practical implementations of k-means clustering, deep learning architectures, and advanced machine learning theory including kernel methods and the Perceptron algorithm. The problems cover: - K-means clustering algorithm implementation and convergence - Deep learning architectures (DALL-E, Transformers) - Perceptron algorithm and kernel methods - Mathematical proofs and theoretical analysis - Parameter counting and computational complexity
10.00 44 pts Hard 99 k-means clustering euclidean distance machine learning +7

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USA AI Olympiad

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Grade 5 Math

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Featured PDFs

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Cover of System Design Interview: An Insider's Guide Volume 2
System Design Interview: An Insider's Guide Volume 2
116 questions 348 pts
Cover of System Design Interview: An Insider's Guide
System Design Interview: An Insider's Guide
108 questions 317 pts
Cover of UNICALLI: A UNIFIED DIFFUSION FRAMEWORK FOR COLUMN-LEVEL GENERATION AND RECOGNITION OF CHINESE CALLIGRAPHY
UNICALLI: A UNIFIED DIFFUSION FRAMEWORK FOR COLUMN-LEVEL GENERATION AND RECOGNITION OF CHINESE CALLIGRAPHY
10 questions 38 pts
Cover of The Principles of Deep Learning Theory
The Principles of Deep Learning Theory
107 questions 418 pts

Featured Books

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Cover of Acing the System Design Interview
Acing the System Design Interview
153 questions 456 pts
Cover of Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
190 questions 543 pts
Cover of Hands-On Machine Learning with Scikit-Learn and PyTorch
Hands-On Machine Learning with Scikit-Learn and PyTorch
200 questions 554 pts
Cover of Deep Reinforcement Learning Hands-On - Third Edition
Deep Reinforcement Learning Hands-On - Third Edition
222 questions 720 pts

Featured Videos

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Cover of Flow-Matching vs Diffusion Models explained side by side
Flow-Matching vs Diffusion Models explained side by side
10 questions 29 pts
Cover of Attention in transformers, step-by-step | Deep Learning Chapter 6
Attention in transformers, step-by-step | Deep Learning Chapter 6
10 questions 30 pts
Cover of Knowledge Distillation: How LLMs train each other
Knowledge Distillation: How LLMs train each other
10 questions 27 pts
Cover of Diffusion Model
Diffusion Model
10 questions 32 pts

Popular Topics

machine learning 56 deep learning 40 neural networks 35 reinforcement learning 33 system-design 28 grade5 27 optimization 14 large language models 13 attention mechanisms 13 combinatorics 13 system-architecture 13 natural language processing 12 aime problems 12 Number Sense 12 scalability 11 beginner 10 number theory 10 performance 10 transformers 9 capacity-planning 9
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