ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
Create a no-code AI researcher with two research modes and verifiable links, so you get quick answers and deeper findings ...
YouTube on MSN
How to create UGC and cinematic ads with AI
Want to turn a single image into a full cinematic ad? In this video, I’ll walk you through how to create high-quality, ...
Deep Learning with Yacine on MSN
Adam optimizer from scratch in Python – step-by-step tutorial
Learn how to build the Adam optimizer from scratch in Python. Perfect for beginners who want to understand how modern ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
semcode is a Python-first semantic code search engine that ingests C++ and Python repositories, splits source files into logical chunks with Tree-sitter + Code2Prompt heuristics, embeds those chunks ...
The world tried to kill Andy off but he had to stay alive to to talk about what happened with databases in 2025.
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
The first ThreatsDay Bulletin of 2026 tracks GhostAd adware, macOS malware, proxy botnets, cloud exploits, and more emerging ...
Abstract: Legal document processing demands solutions that balance precision, scalability, and privacy. This study presents a locally deployed system integrating Large Language Models (LLMs) with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results