E-Commerce customer support requires quick and accurate answers grounded in product data and past support cases. This paper develops a novel retrieval-augmented generation (RAG) framework that uses ...

Attributes like Difficulty, Acceptance %, Frequency % are also added to enable filtering. This repository contains the snapshot as of 12th July 2025. If you need to sort/filter the questions based on ...

Pursuing artificial intelligence for biomedical science, a.k.a. AI Scientist, draws increasing attention, where one common approach is to build a copilot agent driven by Large Language Models (LLMs).

Large Language Models (LLMs) ushered in a technological revolution. We breakdown how the most important models work. Large Language Models (LLMs) ushered in a technological revolution. We breakdown ...

ChatGPT has already wreaked havoc on classrooms and changed how teachers approach writing homework, since OpenAI publicly launched the generative AI chatbot in late 2022. School administrators rushed ...

Paden Gayle secured a Google software engineering role after multiple rejections. Gayle emphasized mastering coding fundamentals and practicing with platforms like LeetCode. He advised starting ...

4th grade dual language math teacher Anjelica Barrientoz works with an individual student on a lesson in preparation of STAAR testing. Credit: Scott Ball / San Antonio Report Students at some San ...

Students sit in a classroom at Dorie Miller Elementary School on San Antonio's East Side before the school's closure. Only 33% of SAISD's students in grades three through eight met grade-level ...

Companies investing in generative AI find that testing and quality assurance are two of the most critical areas for improvement. Here are four strategies for testing LLMs embedded in generative AI ...

Abstract: Complex knowledge graph question answering (KGQA) aims at answering natural language questions by entities retrieving from a knowledge graph (KG). Recently, the relation path-based models ...