• Marco-o1

  • Nov 23 2024
  • Length: 15 mins
  • Podcast

Marco-o1

Listen for free

View show details

  • Summary

  • 🤖 Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

    The Alibaba MarcoPolo team presents Marco-o1, a large reasoning model designed to excel in open-ended problem-solving. Building upon OpenAI's o1 model, Marco-o1 incorporates Chain-of-Thought fine-tuning, Monte Carlo Tree Search, and innovative reasoning strategies to improve accuracy on complex tasks. The model is trained on a combination of existing and synthetic datasets and shows improvements in accuracy on benchmark datasets, particularly in handling nuanced language translation. Further research focuses on refining the reward system within the Monte Carlo Tree Search and using reinforcement learning to enhance its capabilities. The paper details the model's architecture, training process, and experimental results, highlighting its advancements in open-ended reasoning.

    📎 Link to paper
    Show More Show Less
Show More Show Less
activate_Holiday_promo_in_buybox_DT_T2

What listeners say about Marco-o1

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.co.uk reviews

Amazon reviews
No Reviews are Available