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Our brains have distinct mechanisms—from semantic memory for factual knowledge (like knowing that 2+2=4) to episodic memory for recalling personal experiences (like remembering the moment you ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
A model-based agent can handle partially observable environments. Its current state is stored inside the agent maintaining some kind of structure that describes the part of the world which cannot be seen. This knowledge about "how the world works" is called a model of the world, hence the name "model-based agent".
The first AI art program, called AARON, was developed by Harold Cohen in 1968 [282] with the goal of being able to code the act of drawing. It started by creating simple black and white drawings, and later to painting using special brushes and dyes that were chosen by the program itself without mediation from Cohen.
Fine-tuning an AI model with new data is time consuming, costly, and creates an entirely new, derivative model. So a lot businesses have discovered the joys of RAG, or retrieval-augmented generation.
The AI revolution has already minted dozens of unicorns—startups valued at $1 billion before going public. Now it could create a whole new type of startup: the one-person unicorn.
AI, like electricity or the steam engine, is a general-purpose technology. There is no consensus on how to characterize which tasks AI tends to excel at. [15] Some versions of Moravec's paradox observe that humans are more likely to outperform machines in areas such as physical dexterity that have been the direct target of natural selection. [16]
A problem is informally called "AI-complete" or "AI-hard" if it is believed that in order to solve it, one would need to implement AGI, because the solution is beyond the capabilities of a purpose-specific algorithm. [47] There are many problems that have been conjectured to require general intelligence to solve as well as humans.