Abstract: The rise of Large Language Models (LLMs) is transforming educational practices, particularly in higher education, by offering students new possibilities for learning assistance. However, ...
WeKnora is an LLM-powered intelligent knowledge management and Q&A framework built for enterprise-grade document understanding and semantic retrieval. The framework supports auto-syncing knowledge ...
Abstract: In this work, we introduce a generalized task planning innovation framework named GMATP-LLM, which is designed for multi-agent systems. This method utilizes Chain-of-Thought (CoT) prompting ...
Wikipedia recently published guidelines prohibiting the use of AI to generate or rewrite articles, except for two exceptions related to editing and translations. The guidelines acknowledges that ...
Index tuning is critical for the performance of modern database systems. Industrial index tuners, such as the Database Tuning Advisor (DTA) developed for Microsoft SQL Server, rely on the”what-if”API ...
Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...
This benchmark measures how well large language models perform in adversarial, multi-turn debates across a wide range of propositions. Strong performance is not just about producing a polished first ...