In today's rapidly advancing era of artificial intelligence (AI), major enterprises are working tirelessly to apply AI technology in production environments in hopes of achieving higher returns on investment. However, despite the availability of various advanced AI models in the market, teams still face numerous challenges during deployment. According to Peter Bendor-Samuel, the CEO of Everest Group, 90% of generative AI pilot projects will struggle to enter the production phase. Additionally, Gartner predicts that by 20

In the field of artificial intelligence, an innovative research from China is gaining widespread attention. Scientists from Tsinghua University and the Shanghai Artificial Intelligence Laboratory have proposed a novel framework called 'Diagram of Thought' (DoT), which is expected to revolutionize our understanding of AI thinking patterns. The core idea of the DoT framework is to mimic the human thought process in solving complex problems. Just like how we continually hypothesize, critique, and revise when tackling difficult problems, ultimately arriving at a conclusion, DoT...

The Google DeepMind team, in collaboration with academic institutions, has developed an innovative method called Generative Reward Model (GenRM) aimed at improving the accuracy and reliability of generative AI in reasoning tasks. GenRM incorporates a validation process into text generation tasks, allowing the model to simultaneously generate and evaluate potential solutions while supporting Chain of Thought (CoT), enhancing the comprehensiveness of the validation process. Compared to traditional methods, GenRM has shown significant advantages in multiple tests, with accuracy improvements ranging from 16% to 64%, particularly in...