GenAI Resource hub

The GenAI Resource Hub is an India-focused, curated knowledge platform designed to support young developers, students, faculty members, and innovators in building practical understanding and capability in Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). Developed under the YuvAI Initiative for Skilling and Capacity Building, the hub is undertaken together with Meta, in collaboration with IndiaAI and AICTE, and implemented by 1M1B (One Million for One Billion). The hub serves as a centralized access point to trusted resources that enable learning, experimentation, and responsible adoption of Generative AI technologies. Rather than functioning as a single course or platform, the GenAI Resource Hub acts as a reference and enablement layer, complementing structured programs, faculty development initiatives, student courses, and innovation challenges under the YuvAI ecosystem. Purpose of the Hub As Generative AI technologies evolve rapidly, learners and educators often face challenges in navigating fragmented resources spread across platforms. The GenAI Resource Hub addresses this gap by offering a plethora of curated resources in one place, helping users progress from foundational understanding to applied exploration. The hub is designed to: Provide reliable and structured access to GenAI resources Support self-paced and continuous learning Enable educators and mentors to guide learners effectively Promote responsible, ethical, and inclusive use of GenAI Who the Hub Is For The GenAI Resource Hub is intended for: Students and young developers beginning or advancing their GenAI journey Faculty members and educators supporting teaching and mentoring Innovation cell coordinators and mentors guiding projects and hackathons Early-stage innovators and startups exploring GenAI use cases and tools Content is curated to be beginner-friendly, while also offering depth and pathways for more advanced exploration. What the Hub Contains The GenAI Resource Hub brings together multiple categories of content. Each section provides curated links and references, listed below on the page, to enable focused exploration. 1. Learning Materials The hub includes learning resources such as: Foundational GenAI and LLM learning modules Structured courses and tutorials Concept explainers and walkthroughs These materials help users build conceptual clarity around GenAI fundamentals, LLM capabilities, limitations, and practical relevance. 2. Datasets To support hands-on learning and experimentation, the hub provides access to: Open and publicly available datasets Sample datasets suitable for GenAI experimentation Data resources relevant for student projects and demonstrations All dataset references encourage responsible data usage and ethical considerations. 3. Models The hub highlights: Open-source and publicly accessible LLMs and GenAI models Model repositories and references Guidance on understanding model capabilities and constraints This section focuses on model awareness and selection, rather than model development from scratch. 4. Tools and Libraries The hub curates references to: GenAI and LLM development tools Supporting libraries and frameworks Tooling for experimentation, evaluation, and prototyping The intent is to help users understand which tools exist and when to use them, rather than enforcing tool-specific mastery. 5. Responsible AI Frameworks Responsible AI is a core pillar of the hub. This section includes: Responsible AI frameworks Ethical AI guidelines Fairness, transparency, and accountability references These resources help learners and educators understand responsible design and use of GenAI systems. 6. Responsible AI Policies The hub provides references to: National and global Responsible AI policies Governance and regulatory perspectives Policy documents relevant to GenAI adoption This enables users to understand the policy and governance context surrounding GenAI technologies. 7. Reading Materials and Research To support deeper learning and critical thinking, the hub includes: Research papers and technical articles White papers and reports Curated reading lists on GenAI and LLMs These materials are intended for learners, faculty, and researchers seeking in-depth understanding and context. 8. Deployment and Implementation Guides For users moving toward application, the hub includes references to: Deployment guides and best practices Implementation walkthroughs Practical considerations for using GenAI in real-world settings These guides help bridge the gap between learning and responsible application. How the Hub Is Intended to Be Used The GenAI Resource Hub is designed as a living repository. Users may: Explore specific sections based on their immediate needs Use the hub as a reference alongside courses and training programs Leverage materials for classroom teaching, mentoring, or project guidance Faculty members and m