SKLasS considers choice of technology stack/s always focused on the specific applicability for a particular business use case/s. We have a very good understanding of end-to-end layers of AI/GenAI applications.
SKLasS focuses on AI/GenAI/Agentic AI consulting services and draws its strengths from the experiences of dealing with following technology stacks.
AI/GenAI
- Generative AI & Advanced LLM Techniques- Fine tuning, Routing, etc.
- Contextual RAG, GraphRAG, LightRAG, Multi-modal and Multi-lingual
- Prompt Engineering- Basic and Advanced i.e. CoT, ToT, etc.
- Custom Copilots using Office Copilots, Copilot Studio, etc.
Agentic AI
- Agentic AI Architecture and Design Patterns
- Agentic AI development for different business applications
- Agentic AI Governance and Orchestration, etc.
Data Analytics and ML
- Data Science Tools & Technologies focusing on Decision Support Systems
- AI/ML Pipelines and Integration
- Operationalizing ML Models
Responsible AI
- Ethical AI Best Practices
- Use of Rail guards
- AI Governance and Metrices