The biggest limitation of an LLM is simple , it doesn’t know your data. That’s where RAG (Retrieval Augmented Generation) becomes powerful. Instead of retraining the model, we: 🔹 Store enterprise data in Delta Lake 🔹 Convert it into embeddings 🔹 Use Vector Search…
One of the most common questions I hear in AI is:“Should we train a model from scratch, or fine-tune an existing one?” They sound similar — but they solve very different problems. Training a Model (From Scratch) This means building a model from zero,…