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Documentation and learning resources tailored to different model architectures.
Distinguishing note: Focuses on the comparative learning aspect across model types.
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This project is a comprehensive educational resource and technical guide focused on the development, optimization, and application of large language models. It provides a structured curriculum for mastering prompt engineering, ranging from foundational principles of instruction design to advanced techniques for improving model reasoning, accuracy, and reliability. The guide distinguishes itself by offering deep technical insights into agentic workflows and autonomous system design. It covers the implementation of multi-step reasoning chains, tool integration through function calling, and stat
Provides technical documentation and guidance for using function calling with open-source models.