This week, I discuss and explain Code Generations, a concept around tools like transformers that claim to write entire code projects from scratch, but on a surface level. These tools can take a simple text statement like "build an app that reminds me to eat every 2 hours" and transform it into a fully functional program
(with bugs and some bad code for now). Whatspodcasting
Is this the end of software engineers as we know them? Don't worry, I'm not taking sides (yet). This week, instead of delving deep, we're floating on what I call surface-level knowledge about AI code generation.
We'll explore the history of AI code generation, from the early days of chatbots to the rise of machine learning and natural language processing.
How AI code generators are trained, including the role of open-source projects, data cleaning, and a special type of neural network called an RNN (don't worry, it's not scary!).
The potential advantages of using generative AI for coding.Don't forget to check out the description for links: Whatspodcasting
https://en.wikipedia.org/wiki/Recurrent_neural_network
https://www.dhiwise.com/post/how-are-ai-code-generators-revolutionizing-software-development
https://toloka.ai/blog/history-of-generative-ai/
https://www.proquest.com/openview/021521f853535306c1c7fff4536e87e3/1?pq-origsite=gscholar&cbl=18750
https://www.ibm.com/blog/ai-code-generation/
https://g.co/gemini/share/0d3f408e9a25I'm Drounz see you next week.