Developed by Alibaba's Qwen team, QwQ-32B-Preview contains 32.5 billion parameters and can consider prompts up ~32,000 words in length; it performs better on certain benchmarks than o1-preview and o1-mini, the two reasoning models that OpenAI has released so far. (Parameters roughly correspond to a model's problem-solving skills, and models with more parameters generally perform better than those with fewer parameters. OpenAI does not disclose the parameter count for its models.) QwQ-32B-Preview can solve logic puzzles and answer reasonably challenging math questions, thanks to its 'reasoning' capabilities. But it isn't perfect. Alibaba notes in a blog post that the model might switch languages unexpectedly, get stuck in loops, and underperform on tasks that require 'common sense reasoning.' Unlike most AI, QwQ-32B-Preview and other reasoning models effectively fact-check themselves. This helps them avoid some of the pitfalls that normally trip up models, with the downside being...
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