Large Language Models: How ChatGPT and Friends Learn
Words are messy but powerful, and building machines that understand them is a big task.
Modern systems use huge amounts of text to learn patterns, a step called pre-training, then they are tuned to do real tasks.
When these systems grow in size, the change is more than small — at some point they start to show new skills that smaller ones don’t, this is what people mean by scale.
The rise of Large Language Models led to tools like ChatGPT that many of us use every day, and they change how we think about writing, search, and work.
Researchers are still finding better ways to teach them, to make them safer, and to test what they really can do.
The field moves fast, new ideas come up, and problems remain unsolved, but the promise is clear: smarter tools that help people do more.
Try one and see how it feels, you might be surprised by what it can say and how it helps.
Read article comprehensive review in Paperium.net:
A Survey of Large Language Models
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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