Exploring the Cost and Feasibility of Battery-Electric Ships
(newscenter.lbl.gov)
Retrofitting a portion of the US shipping fleet from internal combustion engines to battery-electric systems could significantly reduce greenhouse gas emissions and be largely cost effective by 2035, according to a new study from Berkeley Lab researchers recently published in Nature Energy.
Retrofitting a portion of the US shipping fleet from internal combustion engines to battery-electric systems could significantly reduce greenhouse gas emissions and be largely cost effective by 2035, according to a new study from Berkeley Lab researchers recently published in Nature Energy.
How 15 Top LLMs perform on classification: accuracy vs. cost breakdown
(airtrain.ai)
Historically, classification tasks used to be non-trivial endeavors, both in terms of human-power and cost. It would require a specialized model trained on a large labeled dataset; a consequential project involving tasks such as gathering the data, labeling the data, training and evaluating the model, monitoring and retraining, etc.
Historically, classification tasks used to be non-trivial endeavors, both in terms of human-power and cost. It would require a specialized model trained on a large labeled dataset; a consequential project involving tasks such as gathering the data, labeling the data, training and evaluating the model, monitoring and retraining, etc.
Running an open source app: Usage, costs and community donations
(spliit.app)
I created Spliit a few years ago, but the version you can use today is only one year old. As a user suggested on GitHub, it’s a great opportunity to release some information about the project as a transparency exercise.
I created Spliit a few years ago, but the version you can use today is only one year old. As a user suggested on GitHub, it’s a great opportunity to release some information about the project as a transparency exercise.