NeonSnake4d ago

Serious ask:

I need a crash-course in AI.

Context: my line manager has been asked to evaluate the use of AI at work. He's come to me to ask if I want to help, as he knows I hate it (and he does too), but I'm...vaguely aware...that not all things that are called "AI" are equal.

(like, the "AI" of NPCs in a game is not the same as the "AI" used to create the type of image we generally call "slop", right?)

We want to make sure we're armed with decent knowledge, because we don't want people to say "Oh, ignore them, they're just haters" if we're talking about something that maybe isn't the "bad" kind of AI (if such a thing exists - I don't know enough to be confident right now)

At the moment, *to the best of my currently limited knowledge*, our AI usage is pretty much limited to people using Gemini to create emails and transcripts of meetings.

(I hope that makes sense)

Show threadD Ingram4d ago
@neonsnake The world of AI is much broader than Generative AI. If there's a use for directed neural nets, machine learning, computer vision etc then be open to it. One way of shutting down being a forced sloperator is to use other AI where appropriate to "tick the box"
Show threadNeonSnake4d ago

@ingram Thank you

Would you be able to explain "neural nets, machine learning, computer vision" in VERY layman's terms to me?

And would it be possible for me - not very techy - to recognise them vs LLMs?

Show threadBruno Nicoletti

@neonsnake @ingram Wiki has a good overview. Machine learning is the automated statistical analysis of existing data that allows you to perform tasks on new data without explicit programming. eg: by looking at x-rays of people with and without cancer being able to look at new x-rays and determine if the person has cancer or not. ML has been done for decades and there are many techniques.

https://en.wikipedia.org/wiki/Machine_learning

Machine learning - Wikipedia

Mar 22 at 6:11pmWeb
Show threadBruno Nicoletti4d ago
@neonsnake @ingram Neural networks are a type of ML which roughly simulates how the nerves in a brain works, using clever tricks to establish the correct "connections" between nerves. Machine vision is a broad range of techniques used to analyse images and extract meaning from them, typically via neural networks. LLMs are _very_ large neural networks that allow you generate text that is a likely response based on an input prompt. "Spicy autocomplete".
Show threadBruno Nicoletti4d ago
@neonsnake @ingram So LLMs and chatbots are a subset of ML. The question is what are you trying to achieve and how might machine learning help you.
Show threadNeonSnake4d ago

@bjn @ingram

"Machine learning is the automated statistical analysis of existing data that allows you to perform tasks on new data without explicit programming"

Crikey!

Show threadBruno Nicoletti4d ago
@neonsnake @ingram ML can be anything from very simple curve fitting that allows you to estimate an output for a new input value, to the insane complexity of an LLM. The wiki article is a nice overview.
Show threadNeonSnake4d ago

@bjn @ingram

Sorry, but I don't know what "curve fitting" means in this context. I'm not able to use this in a conversation in the context of my original post.

Show threadBruno Nicoletti4d ago

@neonsnake @ingram Typically simple linear regression.

https://www.geeksforgeeks.org/machine-learning/ml-linear-regression/

Linear Regression in Machine learning - GeeksforGeeks

Your All-in-One Learning Portal: GeeksforGeeks is a comprehensive educational platform that empowers learners across domains-spanning computer science and programming, school education, upskilling, commerce, software tools, competitive exams, and more.

GeeksforGeeks
Show threadNeonSnake4d ago
@bjn @ingram I dont know what that means.
Show threadBruno Nicoletti4d ago
@neonsnake @ingram Read the link I provided.
Show threadNeonSnake4d ago
@bjn @ingram how much do you know about supply vs demand and how it manifests itself in promo cycles?
Show threadNeonSnake3d ago

@bjn

Can you let me know please, as this is really, really important to the context within which I asked the question, as per my original post?

@ingram

Show threadBruno Nicoletti3d ago
@neonsnake @ingram It’s not a thing I have more than a passing understanding of sorry. My background is elsewhere. I’m not at all sure what background reading to suggest.
Show threadNeonSnake3d ago

@bjn

Of course. No worries.

@ingram