How LLM understand human language ? GEN AI (Part 4) Malayalam | Embedding and Fine Tuning

Embeddings and Fine-Tuning are key concepts in NLP and machine learning. Fine-Tuning takes a pre-trained model and adapts it to a specific task using smaller, task-specific datasets. By adjusting the model’s weights slightly, fine-tuning enhances its performance on tasks like sentiment analysis, classification, or translation. In this video, we'll break down these concepts and show how they work together to create more accurate and efficient machine learning models.