Objectives of this Wiki

Empowerment: This playbook serves as a comprehensive guide to Jugalbandi, enabling both functional and technical professionals from various backgrounds to grasp its features, components, and potential applications.

Deepen understanding: We also aim to engage people towards a deeper understanding of the capabilities, challenges, ethical considerations, and opportunities surrounding not just JB but also other similar conversational AI stacks, particularly in the context of social impact initiatives.

Innovation: By democratizing the know-how of Jugalbandi's capabilities, we aim to inspire professionals to explore innovative use cases and integrations, fostering continuous innovation on Jugalbandi.

Collaboration: Encouraging collaboration across different domains, the playbook facilitates knowledge sharing and collective problem-solving to maximize Jugalbandi's impact.

Ecosystem Expansion: Equipped with essential knowledge and tools, professionals can contribute to expanding the current Jugalbandi ecosystem, attracting more stakeholders to further enhance the platform.

Accessibility : it's not just the JB stack that is accessible, the design principle cuts across all our efforts - documentation, benchmarking & dataset creation.