GenAI & Agentic AI are transforming industries, offering unprecedented opportunities for innovation, efficiency and of course value acceleration. However, deploying robust, production-ready GenAI applications requires a strategic approach. We guide you through every stage of the process, from foundation model selection to rigorous evaluation, ensuring your GenAI solutions deliver real business value.

Why Choose SKLasS for GenAI/Agentic AI Solutions?

• Do we consciously bring 'Digital Equity' in our organizations?
• Have we implemented sufficient guardrails for our employees and organization as a whole?
• Is our AI Automation drive validated and reaching most of our stakeholders or business users?

SKLasS suggests below approaches to help drive the productization of GenAI solutions.

• Working on Data Identification, Preparation & Exploration:
  As data are key to a successful analytics project, we guide you identify the right data, establish data ingestion pipeline, processing & measuring quality data and make those data MS ready.
  
• Choose the right pre-trained LLM as the foundation model:
  We help you choose the optimal model based on your specific needs, considering factors like model size, context window, cost, customizability and licensing trade-off between open-source vs. proprietary LLMs.
  
• Focus on well-architected GenAI Solution using RAG techniques:
  We help you to build robust RAG pipelines that integrate with your existing data sources, ensuring your GenAI applications provide factual outputs.
  
• Crafting efficient prompts using Prompt Engineering:
  We guide you to use proven prompt engineering techniques i.e. Chain of Thought, Tree of Thoughts, etc. to maximize the performance of your GenAI applications.
  
• Optimizing Application Performance using available fine-tuning techniques:
  We use efficient fine-tuning techniques like LoRA, QLoRa to minimize computational costs while maximizing model performance for specific scenarios.
  
• LLM Evaluation to ensure Quality and Reliability:
  We bring our expertise for rigorous testing and evaluation of your GenAI applications to ensure they meet your performance and quality standards. We use a combination of automated metrics and human evaluation to assess accuracy, relevance, and bias.
  
• Monitoring & Iterating Model Outputs:
  We bring out model deployment and solution sustenance knowledge to guide you on defining key monitoring, post deployment and stability metrices and iterate output success ratios.
  

This list provides few of the key AI solutions developed for industries. Please reach out for more detailed information.