Synthetic Data for LLM Pretraining and Fine-Tuning

• Synthetic Data Generation Techniques

  Understand and implement various methods for generating synthetic text data suitable for LLMs.

• LLM Pretraining with Synthetic Data

  Apply synthetic datasets to augment and improve the pretraining phase of Large Language Models.

• LLM Fine-Tuning with Synthetic Data

  Utilize synthetic data to effectively fine-tune LLMs for specific tasks and behaviors, including instruction following.

• Synthetic Data Quality Evaluation

  Develop skills to assess the quality, diversity, and utility of generated synthetic data.

• Practical Implementation

  Gain hands-on experience in building pipelines for synthetic data generation and its application in LLM workflows.

There are no prerequisite courses for this course.

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