Llupa2398inmyaiblogs.hashnode.dev·Sep 28 · 4 min readRAG vs Fine-Tuning: Which Is Better for Enterprise AI?When companies start building enterprise AI applications, two approaches often come up: RAG or fine-tuning? They solve different problems, so treating them as interchangeable can lead to unnecessary c00
Llupa2398inmyaiblogs.hashnode.dev·Sep 28 · 3 min readAI Agents in Enterprise: How to Move From Pilot to ProductionAI agents are moving from experiments into real business workflows. But building an agent that can complete a task in a demo is very different from deploying one inside an enterprise. A production AI 10
Llupa2398inmyaiblogs.hashnode.dev·Sep 15 · 2 min readThe AI Prototype ProblemBuilding an AI prototype has become surprisingly easy. A few prompts, an API, some generated code, and suddenly there is something that looks like a real product. That is also where things can get mis00
Llupa2398inmyaiblogs.hashnode.dev·Sep 15 · 4 min readHow to Run Local LLMs in Flutter: Dart FFI, llama.cpp, and the Architecture Behind On-Device AIRunning an LLM inside a Flutter application sounds simple until you look beneath the UI. A typical mobile AI feature looks straightforward: User → Prompt → API → LLM → Response But local inference rem01B
Llupa2398inmyaiblogs.hashnode.dev·Sep 2 · 6 min readFrom AI Prototype to Production: 7 Engineering Problems Teams Discover Too LateAI prototypes are getting remarkably easy to build. A developer can connect an application to an AI model, add a prompt, create a simple interface, and demonstrate the concept in days. That speed is v00
