RAG is hardly as “simple” as it looks.
In AI Applications Made Easy, I explain why real-world RAG means more than uploading PDFs and pressing a button. It takes structure, context, business understanding. Now live on @manningbooks.bsky.social (discounted today — www.manning.com/dotd?a_aid=d...).

#LearnSora Prompt: "A Labrador dog with a red tie giving a lecture on marketing at LUISS university in Rome”
". Critique: You can see pinus pinaster, the "maritime pine", typical of the Rome area, outside the window. How many tails has the Labrador got?
#OpenAI #Sora

Teach a marketing student how to build an AI model from scratch, and magic will happen! 🪄✨

During my last semester at LUISS University, I witnessed firsthand how capable and creative students can be when they are empowered to merge management, data analytics, and AI into tangible business results.

Exploring the Four Levels of RAG (Retrieval Augmented Generation): From basic fact retrieval to uncovering hidden rationales, this framework shows how LLMs evolve to provide deeper insights. Adapted from Zhao et al., 2024.
📄 Learn more: arxiv.org/abs/2409.14924
#AI #DataAnalytics #GenerativeAI

After 12 months of writing, countless interviews and many sleepless nights, I’m thrilled to announce with my co-author Michele Pacifico that our new book is out! "The Financial Times Guide to Data-Driven Transformation: Maximise Business Value with Data Analytics"
www.amazon.co.uk/Financial-Ti...