Abstract: Retrieval-Augmented Generation (RAG) grounds large language models with external knowledge, while two recent variants—Self-RAG (self-reflective retrieval refinement) and Agentic RAG ...

The open-source vector database Endee.io, that is well known for its Ultra High performance with 10x lower Infra, is ...

And it maintains my privacy, too ...

LiteParse pairs fast text parsing with a two-stage agent pattern, falling back to multimodal models when tables or charts ...

Simplilearn, a global leader in digital upskilling, has partnered with Virginia Tech Continuing and Professional Education to ...

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

Depending on the programme, admission may involve entrance tests, academic eligibility criteria, or direct enrolment.

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 16 state-of-the-art ...

Large Language Models (LLMs) have transformed natural language processing, but their limitations, such as fixed training data and lack of real-time updates, pose challenges for certain applications.

Abstract: The industrial flotation process involves multimodal data and cross-procedural knowledge, presenting significant challenges for knowledge system management and traditional knowledge graph ...

Microsoft has warned that information-stealing attacks are "rapidly expanding" beyond Windows to target Apple macOS environments by leveraging cross-platform languages like Python and abusing trusted ...

A new technique developed by researchers at Shanghai Jiao Tong University and other institutions enables large language model agents to learn new skills without the need for expensive fine-tuning. The ...