AI: Shaping the Future with Insight—Balancing Promise and Peril

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Commonly used AI Terms

20 January 2025
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Artificial Intelligence (AI) is transforming technology and business, but its jargon can be daunting. Here's a concise guide to commonly used AI terms to help you navigate the basics:

What is AI?

  • Artificial Intelligence (AI): The branch of computer science focused on creating systems that mimic human thinking. Often used as a buzzword, it encompasses tools like OpenAI's GPT or Google's Gemini.
  • Generative AI: Technology that creates new content like text, images, or code (e.g., ChatGPT, image generators).
  • Artificial General Intelligence (AGI): Hypothetical AI as smart—or smarter—than humans, with immense potential and risks.

How AI Works

  • Machine Learning (ML): A subset of AI where systems learn from data to make predictions.
  • Training: The process where AI learns patterns from vast datasets (e.g., text, images).
  • Parameters: Variables learned during training, shaping AI’s decision-making.
  • Inference: The process where AI generates results, like responding to a query.

Common AI Models

  • Large Language Models (LLMs): AI trained to understand and generate human-like text (e.g., GPT-4).
  • Diffusion Models: Used to generate images or videos by reversing noise.
  • Foundation Models: Versatile models trained on massive data, serving multiple tasks (e.g., OpenAI's GPT, Meta’s Llama).
  • Frontier Models: Next-gen, experimental AI models with enhanced capabilities.

AI Challenges

  • Hallucinations: When AI generates incorrect or nonsensical outputs due to data flaws.
  • Bias: AI can inherit biases from its training data, leading to discriminatory results.
  • Tokens: Chunks of text analyzed by AI to generate responses (affecting output detail).

Core Technologies

  • Neural Networks: Architectures mimicking human brains to identify patterns and learn.
  • Transformers: A neural network type powering many modern AI systems, enabling rapid and accurate text generation (e.g., ChatGPT's foundation).
  • Nvidia H100 Chips: High-performance GPUs widely used for training AI systems.

Emerging Concepts

  • Natural Language Processing (NLP): Enables machines to understand and generate human language.
  • Retrieval-Augmented Generation (RAG): Allows AI to access external sources for improved accuracy.

By grasping these fundamentals, you'll better understand the innovations and limitations shaping AI today.

Dewel Insights, founded in 2023, empowers individuals and businesses with the latest AI knowledge, industry trends, and expert analyses through our blog, podcast, and specialized automation consulting services. Join us in exploring AI's transformative potential.

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