Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 5
0*Welcome back to our Tau LLM series! 🌟*
In this episode, we're taking our project to the next level with some exciting new developments. Our highlights include:
**Finalizing Search Functionality**: We conclude the testing of our vector database's search functionality, ensuring it efficiently handles and retrieves relevant embeddings.
**Chunk Text Functionality**: Dive deeper into the chunk text functionality added to our Encoder, optimizing it for better performance.
**Encoding Full Dataset**: Watch as we complete the encoding of our entire training dataset, setting the stage for robust model training.
**Performance Evaluation**: Learn how we evaluate the performance of our model after these enhancements, ensuring it meets our expectations.
Whether you're a beginner or an experienced developer, this episode will provide valuable insights into the intricate process of fine-tuning and evaluating an LLM using Unity, ML-Agents, and NLP techniques.