Weigh benefits and costs
Posted: Wed Dec 11, 2024 4:41 am
As long as enterprises can understand the capabilities and operation of AutoML, they will benefit from the application process.
Because this technology does not require human experts to be involved at all times, the work can be performed more efficiently and at a significantly higher speed. As long as they are properly utilized, machines can not only outperform humans but also minimize the risk of human error.
After automating the process, the benefits that machine execution can produce will reach a level that is difficult to achieve by humans.
However, there are still other factors that need to be taken into consideration but are easily overlooked, namely "cost".
Neural network structure search can be said to be the "Holy Grail" in the field of AutoML, which is writing a set of artificial intelligence programs to automatically find the neural network structure that armenia whatsapp number data 5 million best solves a specific problem. At present, researchers have provided evidence that there is indeed a chance to fully automate neural network structure search (and surpass human performance in performing the same task); however, it will require a huge amount of computing power to achieve the goal, and even use ten Several CPUs are needed for training. All in all, the overall investment costs will be considerable. Therefore, any company seeking the assistance of automated machine learning should first weigh and evaluate its possible benefits, financial and time costs before using it wisely.
While AutoML can reduce the risk of human error, it cannot eliminate it. This technology can only optimize human-designed metrics, but when the metrics are incorrect, the resulting model will naturally not solve your problem. This doesn’t just happen with AutoML. Humans can also make the same mistakes when using standard machine learning; however, if humans are involved in the development process, they can at least detect errors in model behavior and help correct them. Therefore, although it is extremely efficient to perform the work process entirely by machines, if human participation is eliminated without consideration, it may inadvertently lead to more potential errors.
Because this technology does not require human experts to be involved at all times, the work can be performed more efficiently and at a significantly higher speed. As long as they are properly utilized, machines can not only outperform humans but also minimize the risk of human error.
After automating the process, the benefits that machine execution can produce will reach a level that is difficult to achieve by humans.
However, there are still other factors that need to be taken into consideration but are easily overlooked, namely "cost".
Neural network structure search can be said to be the "Holy Grail" in the field of AutoML, which is writing a set of artificial intelligence programs to automatically find the neural network structure that armenia whatsapp number data 5 million best solves a specific problem. At present, researchers have provided evidence that there is indeed a chance to fully automate neural network structure search (and surpass human performance in performing the same task); however, it will require a huge amount of computing power to achieve the goal, and even use ten Several CPUs are needed for training. All in all, the overall investment costs will be considerable. Therefore, any company seeking the assistance of automated machine learning should first weigh and evaluate its possible benefits, financial and time costs before using it wisely.
While AutoML can reduce the risk of human error, it cannot eliminate it. This technology can only optimize human-designed metrics, but when the metrics are incorrect, the resulting model will naturally not solve your problem. This doesn’t just happen with AutoML. Humans can also make the same mistakes when using standard machine learning; however, if humans are involved in the development process, they can at least detect errors in model behavior and help correct them. Therefore, although it is extremely efficient to perform the work process entirely by machines, if human participation is eliminated without consideration, it may inadvertently lead to more potential errors.