When you interact with an AI chatbot like ChatGPT, Claude, Copilot or Gemini, it may seem like you’re talking to another person.
But these chatbots don’t actually understand the meaning of words the way we do. Instead, they are how we interact with what are known as large language models, or LLMs. This underlying technology is trained to recognize how words are used and which ones frequently appear together so it can predict future words, sentences or paragraphs.
Generative AI tools are constantly refining their understanding of words to make better predictions. Some, including Google’s Lumiere and OpenAI’s Sora, are even learning to generate images, video and audio.
It’s all part of a constant flux of one-upmanship kicked off by ChatGPT’s introduction in late 2022, followed closely in early 2023 by the arrival of Microsoft’s AI-enhanced Bing search and Google’s Bard (now Gemini). Over the next 12 months, Microsoft introduced Copilot, Meta updated Llama, OpenAI released Dall-E 3 and GPT-4 Turbo, Google announced Gemini Ultra 1.0 and teased Gemini 1.5 Pro, while Anthropic debuted Claude 3. It’s gotten to the point where tech companies like Google and Adobe are even releasing peeks at tools that can generate virtual games and music to show consumers where the technology is headed.Â
Cutting-edge technology like this has arguably never been so accessible. And the companies developing it are eager to lure you into their ecosystems and to stake their claims in a market projected to be worth $1.3 trillion by 2032.
If you’re wondering what LLMs have to do with AI, this explainer is for you. Here’s what you need to know about LLMs.
What is a language model?
You can think of a language model as a soothsayer for words.
“A language model is something that tries to predict what language looks like that humans produce,” said Mark Riedl, professor in the Georgia Tech School of Interactive Computing and associate director of the Georgia Tech Machine Learning Center. “What makes…
Read the full article here