• 0 Posts
  • 31 Comments
Joined 1 year ago
cake
Cake day: July 7th, 2023

help-circle

  • Yes, you can craft your prompt in such a way that if the llm doesn’t know about a referenced legal document it will ask for it, so you can then paste the relevant section of that document into the prompt to provide it with that information.

    I’d encourage you to look up some info on prompting LLMs and LLM context.

    They’re powerful tools, so it’s good to really learn how to use them, especially for important applications like legalese translators and rent negotiators.


  • Generally, training an llm is a bad way to provide it with information. “In-context learning” is probably what you’re looking for. Basically just pasting relevant info and documents into your prompt.

    You might try fine tuning an existing model on a large dataset of legalese, but then it’ll be more likely to generate responses that sound like legalese, which defeats the purpose

    TL;DR Use in context learning to provide information to an LLM Use training and fine tuning to change how the language the llm generates sounds.





  • I have to disagree. I’ve been conducting interviews for a fairly large software shop (~2000 engineers) for about 3 years now and, unless I’m doing an intern or very entry level interview, I don’t care what language they use (both personally and from a company interviewer policy), as long as they can show me they understand the principles behind the interview question (usually the design of a small file system or web app)

    Most devs with a good understanding of underlying principles will be able to start working on meaningful tasks in a number of days.

    It’s the candidates who spent their time deep diving into a specific tool or framework (like leaving a rails/react boot camp or something) that have the hardest time adjusting to new tools.

    Plus when your language/framework falls out of favor, you’re left without much recourse.