Earlier this year, Microsoft Research unveiled Orca, a 13-billion parameter model that can emulate the intricate reasoning processes exhibited by other LLMs. Specifically , Orca learns from GPT-4 signals including explanatory traces, meticulous step-by-step thinking, and a myriad of complex instructions. A few weeks ago, Microsoft expanded on that line of work with the release of Orca 2, an extension of the groundbreaking work that delves even deeper into the domain of Small Language Models (SLMs). This new release challenges the conventional approaches to reasoning, pushing the boundaries of what’s possible in the field...