AI Agent · AGI · TechCrunch AI
As AI agents grow more capable, they are increasingly able to spot and apply these endpoints on their own
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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
- Model Context Protocol, or MCP, is an open standard that lets AI models connect to outside tools and data, your files, databases, or apps…
- 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
Summary
Artificial intelligence is rewriting 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.