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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
Knowledge of pre-training and fine-tuning is vital for adapting language models to specific tasks, ensuring optimal performance and relevance for users' applications.
"okay, but I want GPT to perform 10x for my specific use case" - Here is how
Fine-tuning Large Language Models (LLMs) | w/ Example Code
EASIEST Way to Fine-Tune a LLM and Use It With Ollama