Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 9
0Welcome back to our Tau LLM series! 🌟
In this episode, we're continuing our exciting journey with some key updates and new features. Our highlights include:
**Enhancing the Vector Database API**: We'll review the improvements made to our vector database's API, ensuring it's more robust and user-friendly.
**GitHub Project Upload**: We've uploaded our project to GitHub for easier collaboration and sharing. We'll walk you through the repository and how you can contribute.
**Data Load Command Completion**: Watch as we finalize the data load command for handling multiple files, making our data management more efficient.
**New API for Data Directory**: We've created an API that allows users to list files in the data directory and aggregate training data into a single file. We'll demonstrate how this works.
**AgentTrainer Development**: We'll continue programming our AgentTrainer, focusing on the training loop and new functionalities.
**Programming the Reward Signal**: This episode, we'll dive into programming our reward signal, showing you the steps and considerations involved.
Join us as we build, debug, and optimize our LLM project step by step. Whether you're a beginner or an experienced developer, this episode offers valuable insights into developing, testing, and enhancing an LLM using custom tools and techniques.
Stay tuned and let's get started! 🚀