Who should attend this session?

Anyone interested in AI, NLP, and machine learning—whether you're a beginner, researcher, or industry professional looking to enhance your understanding of sentiment analysis and model optimization.

What will I gain from this session?

You’ll learn the fundamentals of sentiment analysis, the differences between fine-tuning and prompt engineering, best practices for improving NLP models, and insights into the future of AI.

Do I need prior experience in NLP to attend?

No! This session is designed for all skill levels. Whether you’re new to NLP or already working with AI models, you’ll gain valuable knowledge and practical insights.

What is sentiment analysis, and how does it work in NLP?

Sentiment analysis is a technique in NLP that determines the emotional tone behind text data. It uses machine learning and linguistic analysis to classify sentiments as positive, negative, or neutral.

What is Prompt Engineering and Fine-Tuning?

Prompt Engineering optimizes input prompts to guide AI responses without changing the model. Fine-tuning trains a pre-trained model on specific data to enhance its performance for a particular task.

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Sentiment Analysis in NLP & Fine-Tuning vs. Prompt Engineering

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By Bluetick Consultants Inc.

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Sentiment Analysis in NLP & Fine-Tuning vs. Prompt Engineering

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