Playing with Llama 7B and 13B, I found that the 13B model was capable of doing a simple task, rewriting titles in sentence case for Tildes submissions. The 7B model doesn't appear capable of the same task, out of the box.

I heard about Android's new AICore available on a couple of new devices. But it sounds like Gemini Nano, which runs on-device, can only handle 2B or 3B parameters.

Is this size of model useful for real tasks? Does it only become useful after training on a specific domain? I'm a novice and wanting to learn a little bit about it. On-device AI is an appealing concept to me.

I was just reminded of that again when going back and looking at some of my old posts on reddit which is openly selling online data. Prompted me to use Redact which erases and overwrites comments before deleting them. But that got me wondering if the same is true of Tildes? And how would we know?

Im part of the EPMO of a healthcare system. We just got licenses and an intro to co-pilot for teams, word, excel , PowerPoint.

I swear this AI will tell you all the questions asked during a meeting. If you join a meeting late you can ask it to recap the meeting thus far. Did you get a sales presentation from a vendor you need to recap and present to stakeholders. Ask co pilot to create a pdf from the documentation the vendor provided.

AI is making my job so much easier but at the same time I kinda feel like I’m training my replacement.

Are you using AI at your job, how are you using it and how do you feel about it use in the workplace and if it will one day replace you?