Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Part 14
0*Welcome back to our Tau LLM series! ๐*
In this episode, we're building on our recent successes and pushing the boundaries of our model's capabilities. Our highlights include:
**Training and Optimization Review**: We'll discuss our first successful training runs, the switch from SAC to PPO, manual difficulty adjustments, and the optimizations made to our configuration and network sizes, achieving an initial accuracy of 75%.
**Expanded Training Data**: Watch as we expand our training data to 1000 records, with half of those records being paraphrased using synonyms, spelling variants, and reordering of words.
**Data Deduplication**: Learn about our new deduplication process for post-processing our training data and the deduplication function for our training data files themselves, not just embeddings.
Join us as we continue to 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! ๐