Match List I and List II and select the correct answer using the code given below.

List-I (Chatbot)	List-II (Company)
A.      Q	1.      Open AI
B.      Bard	2.      IndiGo
C.      6Eskai	3.      Google
D.     ChatGpt	4.      Amazon

Correct option is A

The correct answer is (a) A-4, B-3, C-2, D-1

Explanation:

• Q: Amazon's Q is a generative AI-powered business chatbot for developers and enterprise users.
• Bard: Developed by Google, Bard is based on the PaLM and Gemini large language models.
• 6Eskai: This AI chatbot was launched by IndiGo Airlines to improve customer service and enhance user engagement.
• ChatGPT: Developed by OpenAI, it's one of the most widely known generative AI chatbots.

Information Booster:

• Microsoft Copilot: Microsoft's AI assistant, integrated into Microsoft 365 apps, is powered by OpenAI’s GPT models.
• Meta's LLaMA (Large Language Model Meta AI): Meta has also developed AI language models and plans to integrate them with platforms like WhatsApp and Instagram.
• Gemini is Google's flagship AI model series, developed by DeepMind. The latest iteration, Gemini 2.5, is designed to tackle complex problems with enhanced reasoning capabilities.
• DeepSeek emerged from the Chinese hedge fund High-Flyer in 2023, aiming to develop cost-effective AI models.

Artificial Intelligence (AI): 

Artificial Intelligence refers to the simulation of human intelligence by machines. It enables systems to perform tasks that typically require human cognition, such as learning, reasoning, problem-solving, and understanding language.

Core Components of AI:

• Machine Learning (ML): Algorithms that learn from data to improve performance over time.
• Neural Networks: Computational models inspired by the human brain, used in pattern recognition and learning.
• Natural Language Processing (NLP): Enables machines to understand and interpret human language.

Brief History of Artificial Intelligence

1950s: Origin of AI

• Alan Turing proposed the Turing Test to measure machine intelligence.
• John McCarthy coined the term "Artificial Intelligence" in 1956.

1960s–1970s: Rule-Based Systems

Early AI relied on symbolic reasoning and expert systems with hard-coded rules.

Notable examples:

• DENDRAL: For chemical structure analysis.
• MYCIN: For medical diagnosis.

1980s: Rise of Machine Learning

• Shift from hard-coded rules to data-driven learning.
• Introduction of algorithms like decision trees and basic neural networks.

1990s–2000s: Neural Networks Evolve

• Advancements in deep learning and backpropagation.
• Improved performance in image recognition and language understanding.

21st Century: AI Resurgence

• Driven by:
• Availability of big data (e.g., ImageNet)
• Increased computational power (e.g., GPUs)
• Algorithmic innovations in deep learning.

2010s–Present: AI Breakthroughs

• Natural Language Processing: ChatGPT (OpenAI), BERT (Google)
• Computer Vision: Facial recognition, object detection
• Reinforcement Learning: AlphaGo (DeepMind), OpenAI Five
• Industry Integration: Healthcare, finance, automotive, education, etc.