Imagine a world where 3D printing research is no longer confined to dense academic papers. A world where key insights are readily available, democratizing access to cutting-edge knowledge. That world is closer than you think, thanks to the power of AI. Researchers are now harnessing Large Language Models (LLMs), the brains behind tools like ChatGPT, to extract critical information from the deluge of 3D printing studies. This isn't just about summarizing papers; it's about pinpointing the most relevant data, modeling techniques, sensing methods, and system specifications. The challenge? LLMs, while powerful, aren't perfect. They can sometimes 'hallucinate' or misinterpret information, especially in highly specialized fields like additive manufacturing. That's where human expertise comes in. A new framework combines the strengths of both humans and AI. Domain experts guide the LLMs, training them to recognize and extract the most crucial details. This collaborative approach ensures accuracy and builds trust in the extracted information. A recent case study explored this framework using 100 research articles on machine learning in 3D printing. The results were promising. By iteratively refining the AI's understanding, researchers significantly improved the accuracy and speed of information retrieval. This innovative approach has the potential to transform how we consume and utilize scientific literature. By bridging the gap between complex research and practical application, AI-powered tools are unlocking the secrets of 3D printing and paving the way for faster innovation.