Large Language Models (LLMs) are hailed as the holy grail of AI, poised to redefine many domains. Source code and more specifically source code classification seems to be such a major candidate to leverage LLMs for its needs. Yet, the real-world journey is far from straightforward. Embark on an exhilarating expedition into the realm of LLMs and source code classification. Drawing from our hands-on experience as we walk through how to harness LLMs effectively. We'll share our highs and lows, our moments of triumph and turmoil, from our pursuit of unlocking the full potential of LLMs. This pragmatic guide isn't just about demystifying complexities; it's about equipping you with actionable insights to make LLMs a game-changer in your classification projects. Discover what truly works, steer clear of common pitfalls, and learn how to make LLMs work for you. Whether you're a seasoned developer or just starting, this session will empower you to make LLMs a valuable asset in your classification endeavours. Join us on this captivating voyage from the promise of LLMs to practical success in source code classification.
From [ Ссылка ]
