What features does Hoosh Factory offer?
Hoosh Factory is a production service, not a ready-made tool. This platform is designed for projects that require high accuracy, exclusive data, and custom solutions. At Hoosh Factory, AI is built based on real needs, not predefined templates.
Input Data Evaluation and Validation
In the first step, customer data is reviewed to determine whether it is suitable for training the model in terms of volume, quality, diversity, and structure. At this stage, data weaknesses are identified and reported. Example: It is determined whether the text data is sufficient for training the LLM or needs to be supplemented.
Data Cleaning and Preparation
If necessary, data is cleaned, standardized, and structured. Noise is removed, duplicate data is corrected, and the data is prepared for the training process. Example: Noisy audio files are cleaned to ensure the TTS model produces higher quality output.
Training and Fine-tuning AI Models
Depending on the project, an appropriate model is selected or an existing model is fine-tuned. This process is carried out under expert supervision to achieve the desired accuracy and stability. Example: Fine-tuning a language model for precise responses in a specialized domain.
Custom Audio and Speech Model Generation
Hoosh Factory can generate custom speech models from customer audio data; such as creating a unique voice for a brand or a specific individual.
Quality Assessment and Final Optimization
After training, models are tested and evaluated. The accuracy, stability, and behavior of the model are examined, and final optimization is performed if needed.
Model Delivery, Deployment, and Support
The final model is delivered in a usable form; whether for use via API or deployment in the customer's infrastructure. Support and updates are also provided if required.