Large Language Model (LLM) Creation
Large Language Model (LLM) Creation
- Pretraining on domain-specific datasets
- Fine-tuning using transfer learning for customized tasks
- Multi-modal inputs (text, audio, images) support
- Support for transformer architectures (GPT, BERT, etc.)
- Tokenization and context window management
- Model compression and optimization for deployment
- Scalable training on distributed GPU clusters
- Explainability modules to interpret model decisions
- Robustness against adversarial inputs
- Privacy-preserving training methods (Federated Learning, Differential Privacy)
- Continuous learning and model updates
BUDGET
The estimated budget for this project ranges from 50,000 to 2,00,000. However, the budget is flexible and can be adjusted based on the specific requirements and scope of the project to ensure the best possible outcome.