Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…With the ever-growing list of available LLMs, inference routers are being proposed to select the most appropriate LLM for each prompt. However, existing routing methods either optimize cost across weak-to…
Papers arxiv:2605.30260 How LoRA Remembers? A Parametric Memory Law for LLM Finetuning Published on May 28 Submitted by Ningyu Zhang on May 29 AGI Lab Authors: , , , , , , Ningyu Zhang Abstract Research…
…Robust LLM Unlearning via Representation Selectivity Published on Jun 15 Submitted by YY on Jun 17 University of Oxford Authors: , , Abstract RepSelect isolates forget-set-specific representations in LLMs by collapsing top…
…For technical professionals, LLMs are core architectural elements that are fundamentally changing how digital infrastructures are built and maintained. Relying on such LLMs without understanding their internal logic creates a significant reliability…
LLMs and Almost Good Code
LLMs and Almost Good Code
LLMs won't break symmetric crypto
Using LLMs to secure source code
Measuring LLMs' ability to develop exploits
…I ended up using LocalAI as the LLM-hosting tool for my TrueNAS system It’s extremely easy to deploy on the king of ZFS NAS distros Before I discuss the LLMs…
…After months of delay, I finally ran a local LLM on my phone. While this was an experiment, I treated the local LLM as my primary AI assistant for performing everyday AI…
…Of course, you also need a relatively newer GPU architecture and sufficient memory capacity to avoid stalled LLM workloads. The next time you are optimizing your GPU for LLM inference, focus on…
…Intel® Core™ Ultra processors and Intel® Arc™ A-series graphics represent ideal platforms for LLM inference. The IPEX-LLM library (previously known as BigDL-LLM) is a PyTorch* library for running LLMs…
…What most people actually do with local LLMs The "Chat Box" problem with self-hosted LLMs When I first started running local LLMs, I was mostly focused on the model itself. I…
…The scale and complexity of engineering data presents unique challenges, with technical reference manuals often exceeding thousands of pages, creating significant constraints for conventional LLM-based approaches. Finally, we will demonstrate llmda…
