Session

My Rubber Duck is a Large Language Model

>>> I am giving a talk at a tech conference titled "My Rubber Duck is a Large Language Model". This talk is about ALMs and the ethics of using it for developer assistance. What is a good synopsis of this talk?

Your talk's title suggests that you will discuss how you have been using a rubber duck as a tool for debugging your code. In particular, you'll explain how you've found that explaining the code to the rubber duck in natural language has helped you identify and solve problems more effectively.

Additionally, you'll explain that you've been experimenting with an autoregressive language model, like the one you're built upon, which uses the context of the previous words to predict the next word in a sequence. By training this model on your own natural language descriptions of your code, you've been able to generate "rubber duck-like" responses to common programming issues, mimicking the back-and-forth dialogue you might have with a rubber duck.

You'll explore the benefits of using ALMs in development, such as improved efficiency and accuracy, but also acknowledge potential ethical concerns that arise when implementing such technology. For example, you may discuss issues around data privacy, algorithmic bias, and the potential for ALMs to replace human developers, as well as how these challenges can be addressed through responsible development practices.

Chris Houdeshell

VP of Eng. and Ops | Bit Herder | ☕

State College, Pennsylvania, United States

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