๐๐ฎ๐ฟ๐ด๐ฒ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐น๐ ๐๐ ๐ฝ๐น๐ฎ๐ถ๐ป๐ฒ๐ฑ ๐ฆ๐ถ๐บ๐ฝ๐น๐
You use ChatGPT. Some call it autocomplete. It writes well. Why?
Large Language Models (LLMs) power Generative AI. You do not need to be an engineer to understand them. Knowing how they work helps you make better decisions.
Here is how an LLM works.
First is tokenization. The model breaks your sentence into small pieces. These are tokens.
Second is embeddings. Computers do not read words. They read numbers. The model turns tokens into lists of numbers.
Third is the transformer. The model looks at every token. It finds how they relate. This is self-attention.
The model does not think. It predicts the next word. It picks one word. It adds it to the sequence. It repeats this until the response is done.
Temperature controls the output. Low temperature is safe. High temperature is creative.
This is why LLMs make things up. They predict the most likely next word. Sometimes this is a fact. Sometimes it is fiction. The model does not know the difference.
Stop believing these myths.
- It does not search the internet by default.
- It does not reason like a human.
- It does not remember you in new chats.
This is not magic. It is math and engineering.
Will you use it differently now?
Source: https://dev.to/_boringdeveloper/large-language-models-explained-simply-1ehk Optional learning community: https://t.me/GyaanSetuAi