this post was submitted on 02 Oct 2023
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LLMs are the patient, understanding teachers that adapt to your level that everyone wanted to have. They never get frustrated to why you didn't understand something or that it's taking to much time.
LLMs can summerise a long article, a youtube video without losing information.
LLMs* albeit still not good enough for usage with everything are able to describe an image pretty much accurately and it's really great for people who can't see. ( the state of the art is Llava if you want to test it out )
*The LLM is used along a visual decoder to describe the world but it's been shown that the better the llm the better the vision assistant is able to describe the world.
I have this idea of using an llm to make legalese ( legal writing ) easier to understand and finally allow people to know their rights. Imagine asking an llm : I am a handicaped worker, what's my rights ? And it give you a list.
I have high hopes for AGI. Either it wipes us ( Great ! ) or it make our lives better ( great too !)
I have learned everything I have about AI through AI mentors.
Having the ability to ask endless amounts of seemingly stupid questions does a lot for me.
Not to mention some of the analogies and abstractions you can utilize to build your own learning process.
I’d love to see schools start embracing the power of personalized mentors for each and every student. I think some of the first universities to embrace this methodology will produce some incredible minds.
You should try fine-tuning that legalese model! I know I’d use it. Could be a great business idea or generally helpful for anyone you release it to.
I have thought about the legalese Q&A and translation tool for a bit already.
The best way to have such tools be reliable using an llm without much hallucinations is via the use of embeddings of large quantities of legal documents and only ask the model to look for the ones that may answer the user question, a bit like with privateGPT. Also, always refer to the source and show it to the user.
Maybe even ask the user additional questions like : "is your question about finance, family, rights...etc ?" to decrease the error rate even further.
Then I'd have the llm put all the law articles and court cases it found in a list and use langchain to make it ask itself in each one? Is it really related to the user question ? Is it the right category ?.." to try and remove the most false positive possible .
Now that we'd have a cleaned list, ask the llm to combine what he got and transforme the legalese into understandable language. In this step the fine tuning ( honestly, i don't know how yet) using legal documents could greatly help the model to understand the legalese better.
If you think it could be a good business idea then feel free to make it a reality. My main goal however is to allow people to know their rights. The government is quick to remind us of our duties but unless we seek to know our rights ourselves, they'll be trampled by anyone and everyone. I'd like to Imagine a few kiosks scattered around town to help the citizens.