pittisl / Generative-AI-Tutorial
A subjective learning guide for generative AI research
☆81Updated 9 months ago
Alternatives and similar repositories for Generative-AI-Tutorial
Users that are interested in Generative-AI-Tutorial are comparing it to the libraries listed below
Sorting:
- Survey Paper List - Efficient LLM and Foundation Models☆248Updated 7 months ago
- ☆99Updated last year
- a curated list of high-quality papers on resource-efficient LLMs 🌱☆120Updated 2 months ago
- ☆41Updated 5 months ago
- One-size-fits-all model for mobile AI, a novel paradigm for mobile AI in which the OS and hardware co-manage a foundation model that is c…☆27Updated last year
- [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".☆102Updated 10 months ago
- Federated Learning Systems Paper List☆73Updated last year
- Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"☆31Updated last year
- [ICLR 2025] PEARL: Parallel Speculative Decoding with Adaptive Draft Length☆81Updated last month
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding co…☆125Updated 2 months ago
- Official implementation for Yuan & Liu & Zhong et al., KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark o…☆78Updated 2 months ago
- Systems for GenAI☆135Updated 3 weeks ago
- ☆10Updated 6 months ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆37Updated 10 months ago
- "Efficient Federated Learning for Modern NLP", to appear at MobiCom 2023.☆34Updated last year
- Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.☆295Updated 2 months ago
- PoC for "SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning" [arXiv '25]☆36Updated this week
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆48Updated 6 months ago
- ☆201Updated last year
- Curated collection of papers in MoE model inference☆174Updated 2 months ago
- The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".☆348Updated 2 months ago
- ☆30Updated 11 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆25Updated last year
- Course materials for MIT6.5940: TinyML and Efficient Deep Learning Computing☆46Updated 4 months ago
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆406Updated last week
- A resilient distributed training framework☆95Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆85Updated last year
- Awesome list for LLM pruning.☆224Updated 5 months ago
- ☆49Updated 5 months ago