Generative Artificial Intelligence

Generative Artificial Intelligence


  • Recently, Qualcomm made a series of announcements that highlights the chipmaker’s pivot to Generative Artificial Intelligence (gen AI).
  • All the products it unveiled were aimed at supporting gen AI applications so mobile units can perform AI­based tasks on device.
  • This is testament to the fact that use cases for gen AI are set to rise exponentially.

What is AI?

  • Artificial intelligence refers to any cognitive process exhibited by a non-human entity.
  • Today’s AI includes computer programs that perform tasks similar to human cognition, including learning, vision, logical reasoning, and more.
  • Artificial intelligence has many subcategories, such as neural networks and deep learning, machine learning, computer vision, and natural language processing.
  • These are used mainly in smartphones and Internet applications, as they offer a quick and easy way to optimize the user experience.

Types of Artificial Intelligence:


Narrow Artificial Intelligence:

  • Narrow AI is the most prevalent kind of AI today.
  • From applications in mobile phones to the Internet to big data analytics, narrow AI is taking the world by storm.
  • The name stems from the fact that this kind of artificial intelligence systems are explicitly created for a single task.
  • Owing to this narrow approach and inability to perform tasks other than the ones that are specified to them, they are also called as ‘weak’ AI.
  • This makes their intelligence highly-focused on one task or set of tasks, allowing for further optimization and tweaking.

General Artificial Intelligence:

  • While narrow AI refers to where artificial intelligence has reached today, general AI refers to where it will be in the future.
  • Also known as artificial general intelligence (AGI) and strong AI, general artificial intelligence is a type of AI that can think and function just as humans do.
  • This includes perceptual tasks, such as vision and language processing, along with cognitive tasks, such as processing, contextual understanding, thinking, and a more generalized approach to thinking as a whole.
  • While narrow AI is created as a means to execute a specific task, general AI can be broad and adaptable.
  • The learning part of an adaptive general intelligence also has to be unsupervised, as opposed to the supervised and labelled learning that narrow AI is put through today.

Artificial Super Intelligence:

  • Artificial super intelligence (ASI) is a term used to denote an AI that exceeds human cognition by a great extent in every possible way.
  • This is one of the most far-off theories of artificial intelligence but is generally considered to be the eventual endgame of creating an AI.
  • While artificial super intelligence is still a theory at this point in time, a lot of scenarios involving it have already been envisioned.
  • A common consensus among those in the field is that ASI will come from the exponential growth of AI algorithms, also known as ‘Intelligence Explosion’.
  • Intelligence explosion is a concept required for the creation of artificial super intelligence.
  • As the name suggests, it is an explosion of intelligence from human-level, general artificial intelligence to an unthinkable level.
  • This occurs through recursive self-improvement.

Generative artificial intelligence:

  • It is artificial intelligence capable of generating text, images, or other media, using generative models.
  • Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

Syllabus: Prelims