sitloboi2012/mamba_text_classification
Updated
Huy Vo
sitloboi2012
AI & ML interests
Document AI, Natural Language Processing and Time Series Analysis
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1 hour of OpenAi o1, here are my thoughts...
Here are my few observations:
- Slower response times: o1 can take over 10+ seconds to answer some questions, as it spends more time "thinking" through problems. In my case, it took over 50 seconds.
- Less likely to admit ignorance: The models are reported to be less likely to admit when they don't know the answer to a question.
- Higher pricing: o1-preview is significantly more expensive than GPT-4o, costing 3x more for input tokens and 4x more for output tokens in the API. With more thinking and more tokens, this could require houses to be mortgaged!
- Do we need this?: While it's better than GPT-4o for complex reasoning, on many common business tasks, its performance is just equivalent.
- Not a big deal: No comparisons to Anthropic or Google DeepMind Gemini are mentioned or included.
- This model tries to think and iterate over the response on its own! Think of it as an inbuilt CoT on steroids! Would love a technical review paper on the training process.
A must-read paper: https://cdn.openai.com/o1-system-card.pdf
Organizations
datasets
6
sitloboi2012/SemiKong-Training-Dataset
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sitloboi2012/book-pretrained
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sitloboi2012/semiconductor_scirepeval_v1
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sitloboi2012/CMDS_Multimodal_Document
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sitloboi2012/rvl_cdip_large_dataset
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sitloboi2012/rvl_cdip_small_dataset
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