This repository contains the code and data for the paper "CHESS: Contextual Harnessing for Efficient SQL Synthesis." Translating natural language questions into SQL queries, known as text-to-SQL, is a ...
NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results