Enhancing Visual and Cognitive Intelligence Memory with Fine-Tuning Modeling Based on Artificial Intelligence Large Language Models

GÜN, Mesut | BAŞTÜRK, Mustafa Barış

This study investigates the potential of fine-tuning modeling based on Large Language Models (LLMs) to enhance visual and cognitive intelligence memory. A fine-tuning model was developed using the ChatGPT-4o framework to generate a narrative specifically tailored for a pedagogical audience. This process of guided text generation served as the core of our fine-tuning approach, which yielded the most effective results in creating a foundational narrative. The resulting text was subsequently visualized through detailed prompt engineering on three leading text-to-image AI platforms: DALL-E 3, Imagen 3, and Fooocus.ai. A comparative analysis revealed that the integrated method, initiated with the fine-tuned narrative from the ChatGPT-4o model and visualized with DALL-E 3, produced the mo...