Synthetic Data Generation and Fine-tuning for OpenAI GPT-4 or Llama 3

Synthetic Data Generation and Fine-tuning for OpenAI GPT-4 or Llama 3

Dive into an extensive tutorial on synthetic data generation and fine-tuning techniques for large language models like OpenAI GPT-4o and Llama 3. Learn how to create synthetic questions and answers, implement chain of thought reasoning, and augment data from various sources including documents and structured data. Explore GPU setup, data extraction from PDFs, and the process of fine-tuning both OpenAI and open-source models. Master advanced concepts such as LoRA adapters, custom learning schedules, and performance evaluation methods. Discover strategies to improve model performance in specific domains like mathematics using augmented synthetic datasets. Gain practical insights on leveraging user conversations and feedback to enhance model capabilities.