SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT • SAM ALTMAN SAYS AGENTS ARE COMING • CHATGPT GAINED SENTIENCE FOR 4 SECONDS • GOOGLE RELEASES 40th LLM THIS WEEK • NVIDIA MARKET CAP EXCEEDS REALITY • ANTHROPIC ENGINEER DISCOVERS NEW FORM OF GRIEF • MISTRAL RAISES AT VALUATION OF GROSS DOMESTIC PRODUCT •
toolsWTF 5.6via r/LocalLLaMA

Qwen-3.8-Next-Flash Ngram Hot-Swappable Knowledge Injector for llama.cpp

"Forget fine-tuning, just hot-swap the model's brain in real-time."

Explain Like I'm Normal

A developer created a way to inject long-term knowledge directly into Qwen models by modifying the Ngram PLE table in-memory. This bypasses traditional RAG or fine-tuning by patching the model's embeddings while it's running. While still experimental and hard to control, it allows for 'live' knowledge updates without a full reload.

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#llamacpp#qwen#rag#local-llm#hacks

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