Training

AI fundamentals

Training is the phase where a model learns: the algorithm sweeps the dataset, compares its outputs to the expected results and adjusts its parameters to reduce the error. For large models, this phase requires enormous computing resources, out of all proportion to simply using them.

In practice at Gensai

Gensai does not train large models: the agency builds on market models and focuses the effort on data and architecture.

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Artificial intelligence (AI)Algorithm Data Dataset Model (AI)Machine learning Deep learning Neural network Supervised learning Unsupervised learning Reinforcement learning Classification Regression Prediction Inference Parameters Hyperparameters Bias (AI)

Training

In practice at Gensai

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