“Caden, it looks like Airlynn just said you’re a hopeless loser, and she’s been banging your personal trainer Chad. Is there anything else I can help you with?”
CEOs are SO INTELLIGENT! I would NEVER have Thought to invest BILLIONS OF DOLLARS on Chatbots and Summarizers which ALREADY existed!
Trying not to be too douchey here, but ironically, your message is actually a very good example of where this technology could be beneficial.
IT is ACTUALLY not EASY to read a MESSAGE when THE CASE randomly SWITCHES back AND forth.
Tinder needs this function right now!
I don’t use WhatsApp, but this immediately made me think of my dad who doesn’t use any punctuation and frequently skips and misspells words. His messages are often very difficult to interpret, through no fault of his own (dyslexia).
Having an LLM do this for me would help both him and me.
He won’t feel self conscious when I send a, “What you talkin’ about Willis?” message, and I won’t have to waste a ridiculous amount of time trying to figure out what he was trying to say.
If he’s not communicating in an explicit and clear way the AI can’t help you magically gain context. It will happily make up bullshit that sounds plausible though.
A poorly designed tool will do that, yes. An effective tool would do the same thing a person could do, except much quicker, and with greater success.
An LLM could be trained on the way a specific person communicates over time, and can be designed to complete a forensic breakdown of misspelt words e.g. reviewing the positioning of words with nearby letters in the keyboard, or identifying words that have different spellings but may be similar phonetically.
An LLM could be trained on the way a specific person communicates over time
Are there any companies doing anything similar to this? From what I’ve seen companies avoid this stuff like the plague, their LLMs are always frozen to the customer with no custom training. Training takes a lot of compute, but also has huge risks of the LLM going off the rails and saying bad things that could even get the company into trouble or get bad publicity.
The only hope for your use case is that the LLM has a large enough context window to look at previous examples from your chat and use those for each request, but that isn’t the same thing as training.
What makes you think the llm will be able to decipher something that already doesn’t make sense
