Data Science
- Project Initiation & Discovery
- Data Assessment & Preparation
- Dataset Creation and Preprocessing
- Model Selection & Training Preparation
- Model Fine-Tuning
- Embedding and Retrieval-Augmented Generation (RAG) Integration
- Local Hardware Deployment
- Model Maintenance & Monitoring
- Project Closeout & Handover
3. Dataset Creation and Preprocessing
During Dataset Creation and Preprocessing, we refine and transform the data for optimal model performance. Our team applies quality checks and privacy measures to ensure a compliant, high-quality dataset.
4. Model Selection & Training Preparation
Once the data is prepared, we move to Model Selection & Training Preparation, where we evaluate various algorithmic approaches or model architectures. We balance performance, scalability, and security considerations when deciding which AI methodology to use.
Dataset quality is critical to saving time and money - containing bias and stopping hallucinations… contact us for more info