Learn about the prompt stuffing technique in Spring AI to add context to your prompts when sending requests to language models like GPT-4. Explore how to incorporate your own data into AI interactions, enhancing the relevance and accuracy of responses. Discover the implementation process using Spring AI, with a focus on compatibility across various supported LLMs. Get updated on syntax changes in Spring AI 1.0 and access additional resources for a comprehensive understanding of this powerful feature. Gain practical insights into leveraging prompt stuffing for more effective AI-driven applications and improved natural language processing outcomes.