This post explores how LLM-driven systems transform simple travel predictions into something intelligent, accurate, and responsive. Classic ETA systems rely on basic formulas: distance, average speed, maybe a historical table showing usual delays. These approaches are serviceable in predictable conditions but often fall short. Unexpected traffic jams, road closures, unusual…
In today’s world, knowing exactly when a delivery or a bus will arrive is very important for both companies and customers. This is where ETA, or Estimated Time of Arrival, comes in. Traditional methods for predicting ETAs are often simple and don’t always account for real-world factors such as traffic…
Prompt injection attacks are a growing problem in AI tools like chatbots and language models. They happen when someone adds or “injects” extra instructions or harmful content into a prompt to manipulate the AI. Learning how to protect AI systems from these attacks is important for anyone who builds or…