Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
Shadow LLMs, Agentic Identities, and Securely Integrating AI
LLMs become botnets by reading websites; Playstation users protest Sony - Talking Heads Ep.440
Vector Search with LLMs - Computerphile
🤗 Hugging Cast S2E4 - Deploying LLMs on AMD GPUs and Ryzen AI PCs
EP283: How Google Cloud CISO Chris Betz Uses LLMs to Defend Billions of Users from Vulnerabilities
Nicholas Carlini - Black-hat LLMs | [un]prompted 2026
AgentMerge: Enhancing Battlefield Issue Management with LLMs | AI and Games Conference 2024
…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…
…What Is LLMOps? LLMOps, or large language model operations, is the set of practices, tools, and workflows used to develop, deploy, and manage LLMs throughout their production lifecycle: data management, prompt engineering…
…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…
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
…Training LLM Agents via Agent-Data Mutual Evolution (2026) DPEPO: Diverse Parallel Exploration Policy Optimization for LLM-based Agents (2026) COMAP: Co-Evolving World Models and Agent Policies for LLM Agents (2026…
Papers arxiv:2606.04703 Rethinking Continual Experience Internalization for Self-Evolving LLM Agents Published on Jun 3 Submitted by Wenkai Yang on Jun 5 Authors: Jingwen Chen , Wenkai Yang , , , , , , , , Abstract Experience internalization…
…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…
…Because LLMs can’t reliably distinguish between content in an email sent by an untrusted party and user instructions entered directly into a prompt, the overly solicitous LLM faithfully follows them. To…
…View arXiv page View PDF Add to collection Community Autonomous training for large language models (LLMs) is entering a new era. Rather than relying on a static recipe, EvoTrainer enables LLM policies…
…The following papers were recommended by the Semantic Scholar API Diagnosing Training Inference Mismatch in LLM Reinforcement Learning (2026) AIS: Adaptive Importance Sampling for Quantized RL (2026) Reformulate LLM Reinforcement Learning for…