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Found 4 papers, 1 papers with code
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack
Unlike existing jailbreak methods, Crescendo is a multi-turn jailbreak that interacts with the model in a seemingly benign manner.
Who's Harry Potter? Approximate Unlearning in LLMs
Our technique consists of three main components: First, we use a reinforced model that is further trained on the target data to identify the tokens that are most related to the unlearning target, by comparing its logits with those of a baseline model.
Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads
At the heart of Singularity is a novel, workload-aware scheduler that can transparently preempt and elastically scale deep learning workloads to drive high utilization without impacting their correctness or performance, across a global fleet of AI accelerators (e. g., GPUs, FPGAs).
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Function as a Service (FaaS) has been gaining popularity as a way to deploy computations to serverless backends in the cloud.
Distributed, Parallel, and Cluster Computing
