Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 8
0Welcome back to our Tau LLM series! ๐
In this episode, we're diving into some crucial components of our project. Our highlights include:
**Building the Training Loop**: We'll be working on our training loop, a key part of our model's learning process. This loop will help our model improve its predictions over time.
**Developing the Data Manager**: Watch as we create a data manager that combines multiple training and evaluation data files into a single file. This file is essential for our database loader, which generates all the embeddings that our AgentTrainer manages.
**Initial Training Data**: Our initial training data will focus on three domains: math, grammar, and spelling. For now, responses will be limited to one word, setting the stage for future enhancements like auto-regression for token auto-complete.
**Debugging and Optimization**: Follow along as we debug and optimize these new features, ensuring everything runs smoothly and efficiently.
**Future Plans**: Once these components are in place, we'll move on to more advanced training and evaluation phases.
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 building, testing, and optimizing an LLM using custom tools and techniques.
Stay tuned and let's get started! ๐