Researchers developed WineEyes, an open-source system combining local vision-language descriptions with segmented ...
A data-backed breakdown of the skills, credentials, and capabilities that hiring managers are screening for in senior roles right now.
This is probably a tool that few individuals will need. I personally only pass about 2,000 to 10,000 files to my RAG, so ...
Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...
NVIDIA has open-sourced Auto Ontology, a framework designed to make AI agents more reliable when querying enterprise databases using natural-language instructions. The system creates a semantic layer ...
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for ...
Self-hosted tool for exploring and curating computer vision datasets at millions of samples - freedomridge/freedomridge ...
"I connected an AI agent to a database and asked it to 'get last month's net sales,' and it wrote and executed the SQL in ...
There is no tool for browsing raw schemas. NVIDIA chose that on purpose, so agents reach data through the semantic layer. The ...
lets you stream model responses, validate structured output, and run tools from an agent loop. You can use it to build a support service that classifies tickets, checks order status, and streams ...
Data platforms make decisions all day. An SQL query keeps the rows over a threshold, matches a keyword, and joins two tables on a shared ID. A pipeline sends a failed job down a retry path. Rules like ...