AI’s Leap in Reasoning: The Rise of the Mini-Giant

In the realm of artificial intelligence, every technological leap feels like a new ticket to the future. OpenAI’s o1 model has been making waves with its formidable reasoning prowess, but while the world is still reeling from o1’s capabilities, Anthropic’s Claude 3.5 Sonnet has quietly outmaneuvered the competition in certain respects.

The Secret Sauce: Dynamic Chain of Thoughts

Philipp Schmid, a tech lead at Hugging Face, recently unveiled research that has the AI community buzzing. By combining dynamic chains of thoughts, reflection, and verbal reinforcement, the team has managed to train Claude 3.5 Sonnet to excel at complex reasoning tasks, even surpassing GPT-4 in some areas and matching o1’s performance.

The essence of this approach lies in:

• Multi-step reasoning through dynamic thought chains
• Self-examination of the reasoning process via reflection
• Guiding the model towards the correct direction with verbal reinforcement

The results? After this “special training,” Claude 3.5 Sonnet can perform over 50 reasoning steps on complex problems, creating internal simulated scenarios and significantly enhancing its problem-solving abilities.