Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...
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An enterprise-grade, domain-specific Retrieval-Augmented Generation (RAG) system featuring high-precision document chunking, hybrid keyword/vector search, Cross-Encoder re-ranking, and double-layer ...