What is AI?:
- AI is a subfield of computer science focused on creating intelligent agents capable of human-level tasks such as problem-solving and decision-making.
- AI employs rule-based approaches and machine learning algorithms for adaptability and versatility.
Types of AI:
- Narrow AI is designed for specific tasks, while General AI and Super AI are theoretical and advanced concepts.
- AI can also be categorized based on functionality, including Reactive Machines, Limited Memory AI, Theory of Mind, and Self-Awareness.
AI Applications:
- AI is integrated into everyday technologies like Google Maps and digital assistants, utilizing Narrow AI.
- Businesses apply AI in healthcare, finance, retail, and customer service, enhancing efficiency and productivity.
- AI is revolutionizing gaming and entertainment through NPC control in video games, creative facilitation in music and film, and content recommendations in streaming platforms.
AI in Public Services:
- Government agencies use AI for traffic management, emergency response, and infrastructure optimization to improve public services.
- AI algorithms analyze real-time traffic data, predict natural disasters, and optimize evacuation routes.
Understanding AI:
- AI involves steps to make a system function, including understanding the AI fundamentals, ChatGPT, large language models, and generative AI.
AI Glossary:
- AI terms and meanings include Algorithm, Artificial General Intelligence, Deep Learning, Machine Learning, Natural Language Processing, and Neural Network.
Common Misconceptions about AI:
- AI is not limited to robotics; it encompasses various technologies like search algorithms and natural language processing.
- Artificial General Intelligence (AGI) is still theoretical and far from realization. Superintelligence also remains largely speculative.
- AI processes data based on patterns but lacks comprehension in the human sense.
- AI can inherit biases from its training data or designers and is not inherently unbiased.
- While AI can automate specific tasks, it cannot replace jobs that require emotional intelligence, creativity, and other human-specific skills.
How Does AI Work?:
- Understanding the essence of AI involves actionable knowledge on popular AI topics, such as ChatGPT, large language models, and generative AI.
STEP 1: DATA COLLECTION:
- Gathering data is the initial step of any AI project and involves collecting various types of raw material such as pictures and text.
- Data serves as the source from which the AI system will learn.
STEP 2: DATA PREPARATION:
- After collecting the data, it needs to be prepared and cleaned by removing irrelevant information and converting it into a format understandable by the AI system.
- This step is crucial for the AI system to process the data effectively.
STEP 3: CHOOSING AN ALGORITHM:
- Selecting an appropriate algorithm is essential as it determines how the AI system will process the data.
- Different tasks require different algorithms; for example, image recognition and natural language processing may use distinct algorithms.
STEP 4: TRAINING THE MODEL:
- After preparing the data, it is fed into the chosen algorithm to train the AI model.
- During this phase, the model learns to make predictions based on the data.
