Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 6
0Welcome back to our Tau LLM series! 🌟
In this episode, we tackle some critical debugging tasks and continue refining our project. Our highlights include:
**Fixing Database Save Function**: We successfully resolved issues with our database save function, ensuring data integrity.
**Code Refactoring**: All source code has been reorganized into proper directories and smaller, cohesive files for better maintainability.
**Debugging Database Load Process**: Watch as we debug the database load process, which involves loading a database saved from generated embeddings using our `load_training_data` terminal command.
**Custom Jinja Syntax**: Learn about our custom Jinja-style syntax for database saves, using special tokens to denote fields and values.
**Future Plans**: Once the database is properly saving and loading, we'll move on to building a database validation system and designing an evaluation system to assess our model's performance and accuracy.
Join us on this journey as we enhance our LLM project step by step. Whether you're a beginner or an experienced developer, this episode offers valuable insights into debugging and refining an LLM using custom tools and techniques.