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 ...
Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment you move beyond plain text and start mixing in images ...
Abstract: Organizations accumulate sufficient amounts of structured and unstructured customer support data, but current systems like SQL queries and fixed dashboards still generate actionable insights ...
We test these speeds with files in ./assets/promptsas input prompt files. More tests on multiple datasets will be conducted in the future. [2025/1/14] We release PowerServe 🎉 [2025/4/22] Bug fixes, ...
Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...
Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building context-aware agents. But moving from a basic prototype to a ...
A Python framework for building AI bots for Hexagonal Tic-Tac-Toe (Connect-6 on an infinite hex grid). Fast C game engine, multiple neural network architectures, AlphaZero training pipeline, and a ...
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