Adaption entrusts training set creation to AI: No raw data required, users can generate training sets simply by describing their goals.
1 hours ago
Beating AI Express News: Adaption has launched Invent a Dataset, a training data generation tool. While standard synthetic data tools only handle sample generation, Invent a Dataset automates the full training set design process. Users simply describe what they want the model to learn; the tool independently designs the data structure and generates samples ready for direct model training. There’s no need to prepare raw data, design field formats, or pre-write detailed labeling rules upfront. For example, users can request the model to learn tasks like "summarizing business documents per company standards" or "routing customer service requests to relevant departments." Invent a Dataset identifies the required training data based on the user’s goal and generates corresponding samples in bulk. The generated data can also be directly input into Adaption’s AutoScientist, which will further adjust training data and parameters, iterating through training and evaluation until performance plateaus. This allows users to start from a single task description, generate a training set, and train a task-specific model end-to-end.
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