Observer Effect in Social Media Use
Federated Learning under Distributed Concept Drift (FedDrift)
This repository is the source code for our paper: Federated Learning under Distributed Concept Drift (AISTATS’23) (opens in new tab).
LLM profiling guides KV cache optimization
LLMs rely on memory-intensive mechanisms like the key-value (KV) cache to store and quickly retrieve data. FastGen optimizes KV cache usage, reducing LLM memory demands by up to 50% while maintaining performance.
NeMoEval: A Benchmark Tool for Natural Language-based Network Management
This is a benchmark tool to evaluate natural language-based network management using LLM-generated code.
Yatesbury: A Benchmark for East-West Network Security
This dataset serves as a benchmark for evaluting the performance and efficiency of anomaly detectors in east-west data center network traffic.
LoftQ: Reimagining LLM fine-tuning with smarter initialization
LoftQ boosts LLM efficiency by streamlining the fine-tuning process, reducing computational demands while preserving high performance. Innovations like this can help make AI technology more energy-efficient.