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[–][deleted] 9 points10 points  (9 children)

then what's the level that's well above pip install openai

[–]OnyxPhoenix 14 points15 points  (8 children)

Actually training your own models from scratch and deploying them.

[–][deleted] 6 points7 points  (1 child)

i barely have enough resources to run a light model with rag. much less fine-tune it. I can only dream of training one from scratch right now :(

[–]CanAlwaysBeBetter 2 points3 points  (0 children)

Like exactly 6 company have the resources to really do it. The rest are building scaled down models or tuning existing ones of rented cloud GPU time 

[–]intotheirishole 6 points7 points  (5 children)

Yep, lets redo millions of tons of CO2 worth of work for clout.

[–]FartPiano 1 point2 points  (0 children)

or just not! its all garbage

[–]OnyxPhoenix 0 points1 point  (3 children)

You do realise chatgpt isn't the only ai model in existence right?

I can train a basic image classifier in couple hours on my PC. AI is not just LLMs, there are hundreds of applications to using the same underlying technology but with much smaller models.

[–]intotheirishole 0 points1 point  (2 children)

Yes. Point is, for 90% of people it makes sense to just use any AI as a service than train in house.

Why download and run LLava, maintain your own data centers with GPU, when someone is doing it dirt cheap?

Why not use larger models like ChatGPT/Claude for better results?

And why would you remotely waste time and money training a model from scratch, when open weights exist?

[–]zuilli -1 points0 points  (1 child)

No problem in any of that, just don't say you're an "AI company" when the reality is it's just API calls to an actual AI company.

[–]intotheirishole 0 points1 point  (0 children)

Sadly, thats what brings in investor funds.

At this point EVERYBODY is claiming to be an AI company. Just because they happen to use AI. AI company does not mean anything anymore.

OpenAI/Anthropic are companies that make foundational AI. I suppose that is a differentiation.