AI Agent · AGI · TechCrunch AI
As AI agents grow more capable, they are increasingly able to spot and apply these endpoints on their own
Compiled by KHAO Editorial — aggregated from 1 source. See llms.txt for citation guidance.
◌ Single Source
Given a simple question, a human brain can answer without even thinking too much about it, things like “which animal is taller, a giraffe or a cat?” But in many cases, you often need a pen and paper to come up with the right answer because there are intermediary steps.
Key facts
- Large language models, or LLMs, are the AI models used by popular AI assistants, such as ChatGPT, Claude, Google’s Gemini, Meta’s AI Llama, Microsoft Copilot, or Mistral’s Le Chat
- A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN) structure
- A GAN, or Generative Adversarial Network, is a type of machine learning framework that underpins some important developments in generative AI when it comes to producing realistic data, including (but
- Hallucination is the AI industry’s preferred term for AI models making stuff up, generating information that is incorrect
Summary
Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Artificial general intelligence, or AGI, is a nebulous term. An AI agent refers to a tool that uses AI technologies to perform a series of tasks on your behalf, beyond what a more basic AI chatbot could do, such as filing expenses, booking tickets or a table at a restaurant, or even writing and maintaining code. Think of API endpoints as “buttons” on the back of a piece of software that other programs can press to make it do things.