Resource Consumption Of #AI Remains A Constraint To Evolution

Artificial intelligence, especially the more advanced deep learning systems, require a great deal of energy and processing power.

Some considerations in this regard:

—The most complex AI models, such as large language models, can have billions or even trillions of parameters, which demands an enormous amount of computational resources to train and run them.

—Training these models often takes place in specialized data centers with tens or hundreds of GPUs and TPUs working in parallel for weeks or months.

—Once trained, AI models still require considerable computational power to perform inference and generate results, especially for real-time tasks.

—The power consumption of AI systems can be very high, with some models consuming up to megawatts of electricity during training.

—There are ongoing efforts to improve the energy efficiency of AI, such as the use of specialized hardware, model compression techniques, and more efficient learning approaches. But there is still work to be done in this regard.

Howdy 👋 I am a phd student at Indiana University studying social media stuff so I am obligated to check this place out :P

#introductions

GN 💜🖖🏾

does anybody still use simplex regularly? curious how big the drop off has been

GM💜

Damus doesn’t have polls :(

Informal poll: do you want to see the original translated text next to the translated one or … would you rather only see the translation with an option to reveal the original?

Personally, Im in the 2nd camp: show translation only and tap to show original. Having 2 texts side by side throws off the scroll flow for me and I tend to skip those notes often as a habit.

Sim, mas e china ?

Notriches paso para desearles

Una semana maravillosa llena de Oportunidades 🙏🤗🎊🇻🇪 p

#bitcoin #nostr

#bitcoin #Nostr

#nostriches #plebs #plebchain #nostr