Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 10

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Welcome back to our Tau LLM series! ๐ŸŒŸ

In this episode, we're diving deeper into our project with some exciting updates and new tasks. Our highlights include:

**AgentTrainer and Training Loop**: We'll continue developing our AgentTrainer and refining the training loop. Although we're halfway through, there's still plenty to optimize and enhance.
**New Match Command**: Watch as we complete the new match command, designed to find tokens and embeddings efficiently.
**Truple Data Array Creation**: We'll tackle the complex task of creating a new truple data array to store prompt and response embedding pairs. This involves figuring out the best way to store our token string key map for the truple.

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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