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Using ChatGPT to Generate Data, 4 Examples

Artificial Corner

" AES Corp,United States,Utilities,"AES Corp is a global power company that owns and operates a diverse portfolio of electricity generation and distribution businesses. They are known for their Ryzen and Radeon product lines." They focus on providing sustainable and affordable energy solutions."

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Cryptography use cases: From secure communication to data security 

IBM Journey to AI blog

Some well-known cryptographic algorithms include RSA (Rivest-Shamir-Adleman) , AES (Advanced Encryption Standard) and ECC (Elliptic Curve Cryptography). Popular symmetric encryption algorithms include DES (Data Encryption Standard) , 3DES (Triple DES) and AES.

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Building a harvest model for cucumbers

Mlearning.ai

library(readr) library(readxl) library(ggplot2) theme_set(theme_bw()) library(dplyr) library(lubridate) ggplot(df_temp, aes(x=Tijd, y=Temperature, col=bron))+ geom_line(alpha=0.5)+ labs(x="Time") First plot shows all the temperature data that I have. Lets get started! This gap shows the gap between two harvests.

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How your customers perceive you and your products.

Mlearning.ai

ggplot(Reviews, aes(x=rating, fill=bron))+ geom_density(alpha=0.5)+ facet_grid(~jaar) Reviews%>% filter(!product_category%in%("-") aes(x=rating, fill=bron))+ geom_density(alpha=0.5)+ facet_grid(~jaar) You can see the development of the rating distribution, per source and per year. Numbers are great, but text is better.

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Coding a Virtual AI Girlfriend

Mlearning.ai

I started by thinking I could summarize models with autoencoders (AEs) and combine the produced latent over time, but that didn’t work at all no matter how hard I tried. To solve this issue, I need to add a memory system. I went through many iterations of the memory.

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