I used to feel the same way until I found some very interesting performance results from 3B and 7B parameter models.

Granted, it wasn’t anything I’d deploy to production - but using the smaller models to prototype quick ideas is great before having to rent a gpu and spend time working with the bigger models.

Give a few models a try! You might be pleasantly surprised. There’s plenty to choose from too. You will get wildly different results depending on your use case and prompting approach.

Let us know if you end up finding one you like! I think it is only a matter of time before we’re running 40B+ parameters at home (casually).

Thanks for sharing this!

Good bot, I will do that next time.

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FOSAI Posts:

• Free Open-Source AI Nexus of Resources
• Lemmy Crash Course to Free Open-Source AI

OpenAI has launched a new initiative, Superalignment, aimed at guiding and controlling ultra-intelligent AI systems. Recognizing the imminent arrival of AI that surpasses human intellect, the project will dedicate significant resources to ensure these advanced systems act in accordance with human intent. It’s a crucial step in managing the transformative and potentially dangerous impact of superintelligent AI.

I like to think this starts to explore interesting philosophical questions like human intent, consciousness, and the projection of will into systems that are far beyond our capabilities in raw processing power and input/output. What may happen from this intended alignment is yet to be seen, but I think we can all agree the last thing we want in these emerging intelligent machines is to do things we don’t want them to do.

‘Superalignment’ is OpenAI’s response in how to put up these safeguards. Whether or not this is the best method is to be determined.