Phase 03
Back to AI/ML Services
Model Configuration & Training
Fine tuning NLP models and intent recognition engines for high accuracy responses.
Our engineers configure large language models, custom neural networks and intent recognition engines for your specific business domain. We perform prompt tuning, retrieval-augmented generation (RAG) setup and training/fine-tuning on your proprietary documents and historical support/interaction data.
Key Activities
- Data pre processing & cleaning
- Prompt tuning & engineering
- Fine tuning base models on custom domain datasets
- Intent classifier configuration
Deliverables
- Trained classifier models
- Optimized system prompts
- Validated test datasets
- Embeddings database setup
Tools & Technologies
PyTorch
Hugging Face
OpenAI API / Gemini API
Qdrant / Pinecone
Success Metrics
- > 90% intent recognition accuracy
- Low model hallucination rate (< 1%)
- Optimal semantic search relevance scores
