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Techniques that incorporate visual or non-textual data into reasoning chains to enhance model output accuracy.
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This project is a comprehensive educational resource and knowledge base dedicated to the development and application of large language models and autonomous agentic systems. It provides a structured framework for understanding prompt engineering, context management, and the architectural patterns required to build task