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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
This knowledge is essential for improving model performance on specific tasks, making it a critical skill for AI practitioners and developers.
Tutorial 2- Fine Tuning Pretrained Model On Custom Dataset Using 🤗 Transformer
Finetune GPT-4o on Custom Datasets and Format
Prepare Fine-tuning Datasets with Open Source LLMs