# AI prompts #### Spatial prompts Can you write python code that build a variational autoencoder with parameter "l" controls the number of hidden layers (between input and latent layers) and parameter "l\_n" (a python list) that controls the nodes in each hidden layer using PyTorch with nn.sequential. Train this model by taking a example single cell gene expression count data (usually zero inflated and sparse) as input and compute the reconstruction loss #### Essay prompts Please write a 1200 words assay about the topic "Copper drives cancer" using professional English with academic tone. Please consider published articles in recent 5 years and add citations using APA 7th format. Please do not use numbering headings. #### Text revision prompts Please revise and elaborate the following paragraphs using professional academic English: "" --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://juechen-yang.gitbook.io/juechen-s-codebook/ai-prompts.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.