Shuveb Hussain, co-founder of Unstract, discusses his innovative no-code platform that automates the extraction of structured data from unstructured documents. He highlights the rise of prompt engineers and their role in data transformation. The conversation dives into the complexities of using large language models and the critical importance of quality optical character recognition. Hussain also addresses the fine-tuning of language models for specific needs and the integration of diverse document types, showcasing how these advancements enhance data processing efficiency.