LLM KRL Model Sample usecase Google Gemma English to Tamil translation with LLM Respect Language models LLM_KRL models
To develop a multi-level contextual classification model for English-to-Tamil sentiment analysis, incorporating Google's Gemma models can enhance performance, especially for Tamil language processing. Here's a structured approach: 1. Data Preparation: Dataset Creation: Compile a dataset containing English sentences, their Tamil translations, sentiment labels (positive/negative), and, for positive sentiments, an additional label indicating respect. Example Data Structure: | English Text | Tamil Translation | Sentiment | Respect (if Positive) | |-------------------------------------------|------------------------------------------------|-----------|-----------------------| | I am very happy to meet you | உங்கள...