LLM Training
- 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
5. Model Fine-Tuning
In Model Fine-Tuning, we customize and refine the chosen model to align with the specific use case. Fine-tuning allows us to achieve optimal accuracy and efficiency, while respecting data confidentiality.
6. Embedding and Retrieval-Augmented Generation (RAG) Integration
We then incorporate Embedding and Retrieval-Augmented Generation (RAG) to enhance model capabilities with precise data retrieval and context awareness. This step ensures the AI can draw on accurate, up-to-date information for better decision-making and responses.
Training on local GPUs saves time and money, especially in early stages … contact us for more info