The only AI glossary you'll need this year
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most important words and phrases you might encounter. Artificial intelligence is rewriting the world, and simultaneously inventing a whole new language to describe how it's doing it.
Key Takeaways
- Sit in on any product meeting, pitch, or panel these days, and you'll hear people toss around LLMs, RAG, RLHF, and a dozen other terms that can make even very smart people in the tech world feel a little insecure.
This glossary is our attempt to fix that: pain-English definitions of the AI terms you're most likely to actually run into, whether you're building with this stuff, investing in it, or just trying to keep up by reading TechCrunch or listening to related podcasts.
- OpenAI CEO Sam Altman once described AGI as the "equivalent of a median human that you could hire as a co-worker .
" Meanwhile, OpenAI's charter defines AGI as "highly autonomous systems that outperform humans at most economically valuable work.
- Infrastructure is also still being built out to deliver on its envisaged capabilities.
But the basic concept implies an autonomous system that may draw on multiple AI systems to carry out multistep tasks.
- Chain of thought 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.
- (See: Large language model ) Coding agents This is a more specific concept that an "AI agent," which means a program that can take actions on its own, step by step, to complete a goal.
Sit in on any product meeting, pitch, or panel these days, and you'll hear people toss around LLMs, RAG, RLHF, and a dozen other terms that can make even very smart people in the tech world feel a little insecure. This glossary is our attempt to fix that: pain-English definitions of the AI terms you're most likely to actually run into, whether you're building with this stuff, investing in it, or just trying to keep up by reading TechCrunch or listening to related podcasts. We update it regularly as the field evolves, so consider it a living document, much like the AI systems it describes.
AGI Artificial general intelligence, or AGI, is a nebulous term. But it generally refers to AI that's more capable than the average human at many, if not most, tasks. OpenAI CEO Sam Altman once described AGI as the "equivalent of a median human that you could hire as a co-worker .
" Meanwhile, OpenAI's charter defines AGI as "highly autonomous systems that outperform humans at most economically valuable work. " Google DeepMind's understanding differs slightly from these two definitions; the lab views AGI as "AI that's at least as capable as humans at most cognitive tasks. Not to worry - so are experts at the forefront of AI research .
For more details please read the original article at TechCrunch AI.
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