用小LLM砍掉68%的RAG上下文，竟守住96%召回率，实战方案来了。
Article URL: https://www.kapa.ai/blog/how-we-prune-rag-context Comments URL: https://news.ycombinator.com/item?id=48809354 Points: 3 # Comments: 0
免费工具解决AI记忆文件膨胀问题，堪称Claude用户的救命稻草
I made a memory cleaner for Claude Code. I guess it'll probably work in Codex, OpenCode, Composer etc, but I've only tested it in Claude Code. It's fo…
长对话中动态修剪上下文，大幅提升LLM效率与性能，看完直呼“省省你的token”！
arXiv:2601.07994v5 Announce Type: replace Abstract: Large Language Models (LLMs) increasingly operate over long-form dialogues with frequent topic shi…
揭示网络生长并非修剪逆过程，探讨结构可塑性中稳定增长的关键挑战与机制。
arXiv:2605.15435v1 Announce Type: new Abstract: Standard deep-learning pipelines usually choose the network architecture before training and keep it f…