AI Agent · OpenAI · AGI · TechCrunch AI
As AI agents grow more capable, they are increasingly able to catch and tap these endpoints on their own
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AI is rewriting the world and, at the same time, inventing a whole new language to describe how it’s doing it.
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
This glossary is their attempt to fix that: plain-English definitions of the AI terms you’re most likely to see, whether you’re building with this stuff, investing in it, or trying to keep up by reading TechCrunch or listening to related podcasts. 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.