The ability to show up the next day — even when things didn’t go your way. And the discipline to stick to your routine — even on your worst days. It sounds simple. But it’s not. Because most people stop when it gets…
One of the biggest mistakes in GenAI is building a chatbot first and searching for a problem later. A real RAG project should always begin with a real use case. For example: customer support assistant, internal knowledge bot, policy search, medical document Q&A, legal…
Not my own line — I heard this in a podcast and it made me replay it again and again: “Humility wins you friends, but arrogance wins you championships.” A strange paradox. Society praises humility.But history remembers championships. Before you misunderstand — this is…
👉 Continuous learning. Every year → new tools.Every few years → a new tech revolution. The only constant you truly control is you. So stop stressing about:❌ how many skills to learn❌ what’s trending next Instead:✔ Build a lifestyle of learning✔ Learn to enjoy…
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,…
