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This training is designed for individuals who wish to utilize generative AI tools with high efficiency and qualitatively improve model outputs. It is tailored for participants who are interested in the world of artificial intelligence, prioritize output accuracy, and aim to enhance their professional discipline by gaining a technical perspective in this field.
Model Architecture and Logic: LLM operations and core functioning.
Strategic Prompt Design: Frameworks for defining effective roles, contexts, and tasks.
Reliability and Accuracy: Hallucination management and information verification techniques.
Scope and Control: Response limitation and output control mechanisms.
Model Behavior Parameters: Shaping the decision-making character of the generation process through parameter management.
Technical Formatting: Structured data generation and system-compatible output formats.
Development with AI (Vibe Coding): Intuitive and rapid prototyping processes using AI.
Application Workshop: Scenario-based, end-to-end sample project development.