𝗟𝗟𝗠𝘀 𝗙𝗼𝗿 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴
Large language models do more than write text. They understand it.
Old systems used custom classifiers or strict rules to process language. These systems often broke easily. You had to fine-tune specific models for every new task.
LLMs change this. You use one prompt to perform complex tasks.
Modern LLMs handle:
- Sentiment analysis
- Named entity extraction
- Document classification
- Long-form summarization
These models often beat specialized tools. You save time and reduce complexity. You no longer need to build separate systems for every language task.
Optional learning community: https://t.me/GyaanSetuAi