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UCB: AIsys Catalogue SIGOPS: The Hall of Fame Award Article Archive
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- RL algorithm: from PPO to GRPO and DAPO
- conda, pip, docker: source
- The State of Reinforcement Learning for LLM Reasoning (1)
- A (Long) Peek into Reinforcement Learning: Part3
- conda, pip, docker: source
- A (Long) Peek into Reinforcement Learning: Part2
- A (Long) Peek into Reinforcement Learning: Part1
- Spinning Up: Part 3: Intro to Policy Optimization
- Spinning Up: Part 2: Kinds of RL Algorithms
- Spinning Up: Part 1 Key Concepts inb RL
- Docker, sftp, conda
- Post with Image and Caption
- Paper List: RL-Strawberry
- The Surprising Effectiveness of Test-Time Training for Abstract Reasoning
- NN-Z2H: Lecture 3: Building makemore Part 2: MLP
- NN-Z2H: Lecture 2: The spelled-out intro to language modeling: building makemore
- NN-Z2H: Lecture 1: The spelled-out intro to neural networks and backpropagation: building micrograd
- 空无所空
- Structured Pruning Learns Compact and Accurate Models
- Augmenting Language Models with Long-Term Memory
- How to improve graduate application after submission
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
- Read List of LLM
- High-throughput Generative Inference of Large Language Models with a Single GPU
- Report of the 2023 UIUC SE Evaluation Task
- LiteFlow: Towards High-performance Adaptive Neural Networks for Kernel Datapath
- Tips for Success as a New Researcher
- Clio: A Hardware-Sofuware Co-Designed Disaggregated Memory System
- SIGOPS-2005: The Structure of the "THE"-Multiprogramming
- A Medium-Grained Algorithm for Distributed Sparse Tensor Factorization
- SIGOPS: The Hall of Fame Award
- How to Read a Paper
- Mystique: Accurate and Scalable Production AI Benchmarks Generation
- Demystifying and Checking Silent Semantic Violations in Large Distributed Systems
- RLlib: Abstractions for Distributed Reinforcement Learning
- Explore for some Topic about Distribute RL and HPC
- Distributed Deep Reinforcement Learning
- Monarch: Expressive Structured Matrices for Efficient and Accurate Training
- Why Globally Re-shuffle? Revisiting Data Shuffling in Large Scale Deep Learning
- QuadraLib: A Performant Quadratic Neural Network Library For Architecture Optimization And Design Exploration
- SLIDE : In Defense Of Smart Algorithms Over Hardware Acceleration For Large-Scale Deep Learning Systems
- Note for UCB CS267: Applications of Parallel Computers 1-12
- UCB: AIsys Catalogue
- Post with Image and Caption