Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
InfoWorldOpinion

How to make AI agents reliable

If you can't trust your AI agents, they're a liability, not an asset. Give them small tasks they can execute perfectly, adopt ...
InfoWorld

Databricks says its Instructed Retriever offers better AI answers than RAG in the enterprise

Databricks says Instructed Retriever outperforms RAG and could move AI pilots to production faster, but analysts warn it ...

Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers ...
GitHub

NL2KQL: From Natural Language to Kusto Query

The repository of paper "NL2KQL: From Natural Language to Kusto Query". If you use the NL2KQL code, data, or results, please cite the following reference: This project welcomes contributions and ...
GitHub

QSVD: Efficient Low-Rank Approximation for Unified Query-Key-Value Weight Compression in Low-Precision Vision-Language Models

This repository provides the official implementation of QSVD, a method for efficient low-rank approximation that unifies Query-Key-Value (QKV) weight compression in low-precision Vision-Language ...