Tsinghua researchers open-sourced AKV, an SGLang-based serving system designed for LLM agent cache engineering. By allowing agents to drop and reposition KV cache directly instead of generating history summaries, it cuts average cost by 27.7% across benchmarks. #LLM #MachineLearning #OpenSource
💻 the-incredible-pytorch: 12.6 k ⭐I needed a single bookmark for the PyTorch ecosystem.The Incredible PyTorch is a curated list covering everything from LLMs and object detection t...
Google announced the rollout of Gemini 4 Carbon on Tuesday, expanding access to developers and enterprises through paid plans.Source: Gadgets 360https://www.gadgets360.com/ai/news/...
I asked an AI to speak from inside the Chinese room, with my coffee-nose hybrid in view.It said tokens come in and go out, and there is no second channel where a smell arrives for ...