Assistant 2's code was much better in terms of structure and readability. The code was accurate, efficient, and included helpful comments. The slicing method used to reverse the string was a simple and effective
我们使用 ChatGPT 去创建这个数据集，通过问它类似这样的问题:Generate a bunch of instructions for coding questions in python (in the format of {"prompt": instruction})或者Can you generate 5 examples of instructions, with the same format {"prompt": text}, where the instruction has a piece of ...
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request. - PI
): sections = [] # common prompt common_prompt = f"""You are an advanced AI problem analyst. Use your reasoning ability and historical conversation information, based on all the existing data sets, to get absolutely
understand exactly what is needed.It also tries to avoid giving false or misleading information, and it caveats when it isn’t entirely sure about the right answer.That said, the assistant is practical and really does its best, and doesn’t let caution get too much in the way of being ...
# model definitionmodel: # in the type field, you can write the type of problem you want to solve. Whether regression, classification or clustering# Then, provide the algorithm you want to use on the data. Here I'm using the random forest algorithmtype: classificationalgorithm: RandomForest ...
Since Python 2.7 is counting out this year, I decided to make a fresh start with 3.7 on my new laptop. I used 2to3 and all seemed to be fine until this same problem popped up. I don't really understand your explanation but your suggestion works! This makes me a bit concerned about...
When an experiment contains multiple conditions with relative quantification across all sites, the reported abundances are converted to binary evidence using a threshold relevant to the biological problem in question. We found that KSTAR predictions are fairly robust to changes in the threshold used as...
上述三个要求中,只要有一个不满足,则称之为不适定问题(ill-posed problems)。 图像处理中不适定问题(ill posed problem)或称为反问题(inverse Problem)的研究从20世纪末成为国际上的热点问题,成为现代数学家、计算机视觉和图像处理学者广为关注的研究领域。典型的图像处理不适定问题包括: ...
func is the path-problem-aware executor. The Python program returns the processing time, path segment angles, the number of points to be traversed, and path length. The entire code was tested on a computer with an Intel (R) Core (TM) i7–8850H CPU running at 2.60 GHz, 2592 MHz, 6 ...