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ALYTV
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Reacted to qq8933's post with 👍 25 days ago
LLaMA-O1: Open Large Reasoning Model Frameworks For Training, Inference and Evaluation With PyTorch and HuggingFace Large Reasoning Models powered by Monte Carlo Tree Search (MCTS), Self-Play Reinforcement Learning, PPO, AlphaGo Zero's dua policy paradigm and Large Language Models! https://github.com/SimpleBerry/LLaMA-O1/ What will happen when you compound MCTS ❤ LLM ❤ Self-Play ❤RLHF? Just a little bite of strawberry!🍓 Past related works: https://huggingface.co/papers/2410.02884 https://huggingface.co/papers/2406.07394
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Reacted to qq8933's post with 👍 25 days ago
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LLaMA-O1: Open Large Reasoning Model Frameworks For Training, Inference and Evaluation With PyTorch and HuggingFace
Large Reasoning Models powered by Monte Carlo Tree Search (MCTS), Self-Play Reinforcement Learning, PPO, AlphaGo Zero's dua policy paradigm and Large Language Models!
https://github.com/SimpleBerry/LLaMA-O1/

What will happen when you compound MCTS ❤ LLM ❤ Self-Play ❤RLHF?
Just a little bite of strawberry!🍓

Past related works:
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning (2410.02884)
Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B (2406.07394)
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liked a model 4 months ago
liked 3 Spaces 4 months ago
Reacted to combatsolutions's post with 👍 4 months ago
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Hello Community,

I am seeking guidance on solving a complex problem related to tender categorization. Here's a detailed overview of my requirements and challenges:

Problem Statement:

I need to categorize tenders based on their descriptions on a daily basis.
I process over 35,000 tenders daily, each potentially belonging to a vast range of categories. Predicting the exact category for each tender is challenging due to the diversity and complexity of categories.
Requirements:

Model Selection: I require a model that can accurately predict the category of each tender based on its description. I plan to create a dataset from 1 million records in the required format to train the model. Post-training, I also need to optimize the model for performance.
Training and Optimization: Guidance on the best practices for training and optimizing the model is essential. I am considering Hugging Face’s tools but am unsure about how to effectively use them or any alternatives.
Local Deployment: If I opt for a local deployment, I need to know what kind of infrastructure or applications are required to run the model on my own servers efficiently.
Performance: The model must provide responses quickly, given the high volume of tenders.
Questions for the Community:

Model Recommendations:

Which model or method would be most suitable for categorizing tenders with diverse categories?
What are the best practices for training and optimizing such a model?
Infrastructure and Deployment:

What infrastructure or software is needed to deploy a model locally for this purpose?
How can I ensure the model performs efficiently on my server?
Performance Optimization:

What strategies or techniques can I use to achieve quick response times from the model?
I appreciate any advice, suggestions, or resources you can provide to help address these challenges.

Thank you!

Best regards,
Sachin Vaishnav
liked a model 4 months ago