Team Indev's agility in learning and applying emerging technologies in our client's context makes us stand apart from our peers and competitors. Our team harnesses the power of advanced technologies like blockchain and smart contracts, including AI, and IVRS, to boost the effectiveness of development initiatives. Indev offers customized IVRS solutions, smart contracts, and real-time monitoring systems, which enhance planning, transparency, and decision-making. AI-driven automation further optimizes engagement, allowing clients to achieve more responsive and impactful outcomes. Through our technology-driven approach, we transform complex data into actionable insights, driving meaningful development.
Building Custom AI Catalogue using (Open AI and Llama)
We have been using Open AI and Llama for developing custom solutions for our partners. These solutions are customised as per the requirement of the partner to achieve the desired result and improve predictive accuracy and address domain-specific challenges more effectively.
Leveraging Semantic Search for Knowledge Management
We have been utilizing Semantic Search to enhance the efficiency of searching and retrieving knowledge artifacts from various types of databases. The results are then visually presented according to user requirements, including the creation of knowledge maps. This approach ensures that information is not only easily accessible but also displayed in a manner that aligns with specific user needs, enhancing understanding and usability.
Use of Multilingual Content for Generative AI
We have been utilizing Generative AI models to process content in multiple languages, including Spanish, Hindi, Bangla, Swahili, and many others. We are also experimenting with additional languages to tailor the technology for domain-specific use cases. This multilingual capability allows us to customize solutions that meet the diverse needs of our global clientele.
Fine Tuning of the AI Model
We continuously monitor the queries posed by end-users and the responses generated by our AI system. Through systematic contextual analysis, we examine both the queries and AI responses to identify areas for improvement. The model is then fine-tuned based on these observations and direct user feedback. This iterative process ensures that our AI system remains responsive and adaptive, enhancing its ability to deliver precise and contextually appropriate responses. This ongoing refinement helps in better understanding user needs and preferences, which further guides the development of more robust and user-centric AI solutions.
Integration of Content Management System with AI Catalogue
We effectively manage our AI database using a sophisticated Content Management System (CMS) that not only handles knowledge artifacts but also processes metadata inputs. These inputs are crucial for enriching our AI catalog, where they are systematically cataloged alongside tacit knowledge gathered from user interactions. This comprehensive approach ensures that our database is not only robust but also dynamic, continuously evolving with each user interaction to refine and personalize the user experience further. This integration of explicit knowledge with tacit insights significantly enhances the precision and relevance of the information provided, making our AI system increasingly effective at meeting specific user needs.