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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
Being aware of biases in AI is fundamental for developing fair and equitable AI systems, thus enhancing users' ethical understanding of technology.
Bias in AI and Academic Mitigation
Ethical AI and Bias Mitigation: Ensuring Fair and Responsible Algorithms
Core Dimensions of Responsible AI: Ethical AI & Bias Mitigation | AI Ethics Explained