Artificial Intelligence (AI) in India

Statement 1 is Correct: At their core, Large Language Models (LLMs) function by analyzing input context and calculating a statistical probability distribution for the next possible words (tokens) in a sequence. In their most basic form of text generation (known as "greedy decoding"), they pick the word with the absolute highest probability. While standard applications often introduce controlled randomness (stochastic sampling like *top-k* or *temperature scaling*) to make text more creative, the foundational mechanism relies on assigning probabilities to select the next word. Statement 2 is Correct: LLM training relies heavily on mathematical optimization. Algorithms such as Stochastic Gradient Descent and backpropagation are used to iteratively adjust billions of model parameters. The explicit goal of this process is to minimize a "loss function," which mathematically represents the model's prediction errors compared to the actual training data. Statement 3 is Incorrect: LLMs do not produce inherently unbiased outputs. Because they learn from massive, human-generated datasets scraped from the internet, they are well-documented to inherit, reflect, and sometimes amplify historical and societal biases (e.g., gender, racial, or cultural stereotypes) present in their training data. Therefore, the correct option is B.

Statement 1 is Correct: The National Quantum Mission (NQM) aims to develop intermediate-scale quantum computers with 50 to 1000 physical qubits within 8 years. Specifically, it targets 50–100 physical qubits in 5 years and scales up to 50–1000 physical qubits in 8 years using platforms like superconducting and photonic technology. Statement 2 is Correct: The implementation of the mission explicitly includes the establishment of four Thematic Hubs (T-Hubs) in top academic and national R&D institutes across India. These hubs focus on distinct technology verticals: Quantum Computing (led by IISc Bengaluru), Quantum Communication (led by IIT Madras), Quantum Sensing & Metrology (led by IIT Bombay), and Quantum Materials & Devices (led by IIT Delhi). Therefore, both statements are correct.

* AI is now being used to analyze industrial data, optimize processes, and predict energy usage patterns. This allows for targeted interventions to reduce overall consumption. * AI can now generate more creative and coherent text formats compared to 2020. While still under development, some AI-generated content can be quite engaging, blurring the lines between human and machine creation. * AI has become a powerful tool in medical diagnosis. AI algorithms can analyze vast amounts of medical data, identify complex patterns, and assist healthcare professionals in diagnosis and treatment planning. * Text-to-speech conversion using AI continues to be a well-established technology. AI can now generate natural-sounding speech with various accents and emotions, making it a valuable tool for various applications. * While significant wireless transmission of electricity over long distances remains a challenge, there has been progress in short-range wireless charging and localized energy transfer using AI-powered systems. Note: From the current status of AI development, all the listed applications of AI are feasible. However, this question was asked by the UPSC in 2020 when Generative AI was yet to become mainstream. UPSC's official answer key gave 'B' as the correct answer.

* Statement 1 is not correct: The formation of India’s own internet companies, similar to China’s approach, is not an aim of the Digital India programme. The initiative focuses on creating digital infrastructure, providing digital services, and promoting digital literacy — not establishing government-backed internet firms. * Statement 2 is not correct: The Digital India plan does not include any policy framework to attract foreign multinational corporations to build data centres in India. While data localisation and data centre policies have emerged later under different frameworks, they are not part of the original Digital India objectives. * Statement 3 is correct: One of the key aims of Digital India is to connect villages through broadband and to provide Wi-Fi access in schools, public places, and tourist centres. This is part of its core pillars like Broadband Highways, Public Internet Access Programme, and Early Harvest Programmes.

Statement 1 is Incorrect: The Summit's intellectual framework and core philosophy were anchored in three foundational principles (Sutras): People, Planet, and Progress, not People, Planning, and Progress. Statement 2 is Incorrect: The New Delhi Declaration introduced the Charter for Democratic Diffusion of AI to promote affordable access to foundational AI resources, support local innovation, and build resilient AI ecosystems. However, it was established as a voluntary and non-binding framework, respecting national laws, rather than a binding treaty. Statement 3 is Correct: The New Delhi Declaration on AI Impact was structured around seven thematic pillars of action, officially referred to as Chakras. These foundational areas included Access for Social Empowerment, AI for Science, and Secure and Trusted AI, alongside Democratizing AI Resources, Economic Growth & Social Good, Human Capital Development, and Resilient, Efficient & Innovative AI Systems. Therefore, option D is the correct answer.