Microsoft’s Orca, a 13 billion parameter model, surpasses previous language models like vicuna and competes with text DaVinci 3. Although it falls behind gpd4 overall, Orca demonstrates exceptional performance in various benchmarks, including the Big Bench Hard challenge. It excels in zero-shot reasoning and shows promise in exams such as SAT, LSAT, GRE, and GMAT. The model benefits from teacher assistance, incorporating detailed responses and step-by-step thinking. Microsoft’s research aims to explore cost-effective ways to imitate large models. The transcript emphasizes the significance of learning from step-by-step explanations for model improvement and the need for robust evaluation methods. OpenAI leaders share contrasting views on the future of open source models, while the ongoing debate revolves around whether open source models can catch up with proprietary ones. OpenAI’s role in driving future advancements remains unique.