Practical articles on large language models, prompt engineering, retrieval-augmented generation and AI agents.
A realistic order for learning AI: programming and just enough maths, machine learning, then neural networks – with a project…
Eng. Abdelmaksoud
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What separates a chatbot from an agent? The think-act loop, tool calling, memory, safety limits, and a practical plan for…
Eng. Abdelmaksoud
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Why a model does not know your documents and how RAG fixes it: chunking, embeddings, semantic search and answers grounded…
Eng. Abdelmaksoud
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A practical prompt framework – role, task, context, constraints, output format – with before-and-after examples and a way to check…
Eng. Abdelmaksoud
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A plain guide to large language models: training on text, tokens, the context window, why they get things wrong, and…
Eng. Abdelmaksoud
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