Tag: documents

  • Synthetic Data Generation with LLMs

    Synthetic Data Generation with LLMs Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they identify and prioritize Generative AI use cases, balancing complexity with potential value. Retrieval-Augmented Generation (RAG) often stands out as a foundational capability across many LLM-driven solutions, striking a balance between ease of implementation…

  • Ranking Basics: Pointwise, Pairwise, Listwise

    Ranking Basics: Pointwise, Pairwise, Listwise Because thy neighbour matters Image taken from unsplash.com First, let’s talk about where ranking comes into play. Ranking is a big deal in e-commerce and search applications — essentially, any scenario where you need to organize documents based on a query. It’s a little different from classic classification or regression problems. For…