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Introduction to GPT-4 and Transformer Architectures
- Difference between GPT-3 and GPT-4 architectures
- Understanding transformer models
- Role of attention mechanisms in NLP
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Core Concepts in Language Models
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Integrating ChatGPT API into Applications
- Making HTTP requests to ChatGPT API
- Handling JSON responses from API
- Error handling in API integrations
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Building Applications with ChatGPT
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Ethical Considerations and Responsible AI Usage
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Customizing and Evaluating AI Models
- Customizing AI models for specific tasks
- Training and fine-tuning on custom datasets
- Evaluating performance against benchmarks
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Implications of AI-generated Content
Learning about attention mechanisms is essential for understanding how transformers process information, which is foundational knowledge for working with NLP applications.
Attention for Neural Networks, Clearly Explained!!!
Attention Mechanism in Natural Language Processing
Transformer Neural Networks - EXPLAINED! (Attention is all you need)