Scientists Achieve Dynamic Inference Selection in Large Models, Surpassing Static Techniques
In recent years, enhancing the inference capabilities of large models has garnered widespread attention. For instance, OpenAI’s o1, as an inference-enhanced large model, has attracted significant interest from the AI community. Dr. Yuerong Yue from George Mason University and his team noted that many previous studies have demonstrated the effectiveness of various prompting strategies in … Read more