In AI, the expression 'garbage in, garbage out' refers to the fact that if you train an AI algorithm on incomplete or inaccurate
08 Dec 2023, 21:37
In AI, the expression ‘garbage in, garbage out’ refers to the fact that if you train an AI algorithm on incomplete or inaccurate data, the model is going to perform poorly. How do you get good data? That’s where you come in! 🧵👇
Same news in other sources
208 Dec 2023, 21:38
Once the AI model is deployed, there’s still a need for human oversight, as models can become biased over time. That’s why ‘humans in the loop’ are needed to continuously tweak model performance – and why there will be a role for builders at Synesis One for years to come.
Once the AI model is deployed, there's still a need for human oversight, as models can become biased over time.
Once the AI model is deployed, there’s still a need for human oversight, as models can become biased over time. That’s why ‘humans in the loop’ are needed to continuously tweak model performance – and why there will be a role for builders at Synesis One for years to come.
08 Dec 2023, 21:37
The most important part of Artificial Intelligence is you: the thousands of humans who train the AI models. Without your contribution, AI is just a bunch of data and algorithms. Your intuition and creativity and lived experience brings the code to life and makes it useful!
The most important part of Artificial Intelligence is you: the thousands of humans who train the AI models.
The most important part of Artificial Intelligence is you: the thousands of humans who train the AI models. Without your contribution, AI is just a bunch of data and algorithms. Your intuition and creativity and lived experience brings the code to life and makes it useful!