NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — using step-by-step reasoning.
DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.
XDA Developers on MSN
I quantized a local LLM on my home server and ditched cloud AI for smart home control entirely
My Proxmox node now powers my entire smart home without touching a single cloud service ...
A public, reusable Text-to-SQL business analytics assistant built with FastAPI, Gemini, LangChain, MySQL, SQLAlchemy and Streamlit. The app lets non-technical users ask business questions in plain ...
Illustration of the Text2VectorSQL task, with scenarios below showing how integrating SQL queries with vector search unlocks semantic filtering, multi-modal matching and retrieval acceleration. These ...
Prompt Flow Prompt Flow is Microsoft's open-source toolkit for building, evaluating, and deploying LLM-based applications and prompt pipelines. It supports local development, automated evaluation ...
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