Solving Real-World Data Science Problems with LLMs - Historical Document Analysis

Solving Real-World Data Science Problems with LLMs - Historical Document Analysis

Dive into a comprehensive video tutorial on analyzing historical documents using Python and Large Language Models (LLMs). Learn to set up LLMs with both OpenAI API and open-source Llama 2 via Ollama, parse entities from text, and work with real-world data from the Freedmen's Bureau historical documents. Follow along as the instructor demonstrates connecting pages from the same documents, extracting key information like names, ages, and locations, and analyzing the resulting entities. Gain practical experience in data science and natural language processing while uncovering insights from historical records. Perfect for those interested in applying AI techniques to historical research and document analysis.