Yellow: Craving
At first glance, the benchmarks and their construction looked good (i.e. no cheating) and are much faster than working with UMAP in Python. To further test, I asked the agents to implement additional different useful machine learning algorithms such as HDBSCAN as individual projects, with each repo starting with this 8 prompt plan in sequence:
。51吃瓜对此有专业解读
SelectWhat's included
公式： f(x)=x⋅Φ(x)≈0.5x(1+tanh[2/π(x+0.044715x3)])
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