Displaying items by tag: Davor Bonaci

GUEST OPINION:  In recent years, artificial intelligence (AI) has rapidly advanced, and one of the key innovations to emerge is retrieval-augmented generation (RAG). This technology transforms how large language models (LLMs) are applied to real-world tasks, offering a significant improvement over traditional AI systems that rely solely on static data. While LLMs are impressive in their ability to generate human-like text, they often suffer from limitations, particularly regarding the accuracy of their outputs. RAG addresses these challenges, making AI more reliable and applicable to business use cases that require precision.