Abstract: The design space for edge AI hardware supporting large language model (LLM) inference and continual learning is underexplored. We present 3D-CIMlet, a thermal-aware modeling and co-design ...

⭐ If you like our project, please give us a star on GitHub for the latest updates! LightMem is a lightweight and efficient memory management framework designed for Large Language Models and AI Agents.

In this tutorial, we build a self-organizing memory system for an agent that goes beyond storing raw conversation history and instead structures interactions into persistent, meaningful knowledge ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

Abstract: The development of Large Language Models (LLMs) enables LLM-based GUI testing to interact with graphical user interfaces by understanding GUI screenshots and generating actions, which are ...

python3 main.py (loads tinyllama with mlc + INT3 from config by default) python3 main.py --api hf (loads tinyllama from config without quantization) python3 main.py --model "X" (choose your own llm ...