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Showing posts from July, 2026

Generative AI Chatbot to learn about Generative AI by Inder P Singh

Symbolic Generative AI Knowledge Bot Symbolic Generative AI Knowledge Bot This is a symbolic AI chatbot designed to provide knowledge about Generative AI concepts, such as LLMs, GANs, Transformers, Datasets, and Applications. This chatbot uses symbolic reasoning to infer answers from a defined knowledge base. Get GitHub code here . Learn how it works on YouTube here . Features Dynamic reasoning based on entities and relationships from the knowledge base. Fallback responses for unmatched queries. Easily extensible knowledge base (in JSON format). Type a query about GenerativeAI (e.g., "Tell me about LLMs"). No capitalization needed! Supported terms: GenerativeAI, Datasets, LLMs, Diffusion Models, GANs, Transformers, Applications, Ethics Send Clear Tip: ask using natural language, e.g., "Tell me about GANs" or "What are the limitations of GenerativeAI?" Small d...

Software Testing Knowledge Copilot: How I Built a Secure Multi-Agent AI Assistant for Teams Without Cloud APIs

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Summary : Software Testing Knowledge Copilot is a secure, deterministic, multi-agent AI system that helps QA Engineers instantly discover trusted software testing knowledge from an internal repository. Unlike general-purpose AI assistants, it operates entirely on a local dataset, eliminating cloud API costs, protecting intellectual property, and delivering reliable, traceable technical guidance. View the Local Multi-Agent System video below. Then, read on. There are two ways that you can get this Knowledge Copilot: Kaggle notebook (recommended option): You can copy / edit or download my Software Testing Knowledge Copilot on Kaggle here . On Kaggle, you can read the detailed Knowledge Copilot Project Writeup here . GitHub: You can clone this Knowledge Copilot from (that uses a public Software Testing dataset ) on GitHub here . Introduction: Why Teams Need Their Own AI Knowledge Copilot Every project team builds an enormous knowledge base over time. For example, a soft...