Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 11

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Welcome back to our Tau LLM series! ๐ŸŒŸ

In this episode, we're pushing forward with some exciting developments and new tasks. Our highlights include:

**Training Loop Enhancements**: We'll continue refining our training loop code, ensuring it's robust and efficient.
**Embedding Retrieval Functions**: Watch as we hook up new functions to find embeddings in our database from the training data loaded during the process.
**Training Pair Creation**: We'll create all the training pairs of embeddings, which we'll randomly sample from. This is a crucial step towards running our first full training session.

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! ๐Ÿš€




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