Unity ML-Agents | Pretrain an LLM from Scratch with Sentence Transformers | Warmup 2b
0Welcome to our Tau LLM series! π
In this episode, we're taking significant strides towards production readiness and optimizing our training process. Our highlights include:
Project Setup: Learn how to create a new Unity project and import the ML-Agents package.
Agent Configuration: Discover how to configure your agent to handle text-based inputs and outputs.
Training the Agent: See how we use a Python script to encode and decode sentences, and how we train the agent to generate appropriate responses.
Scoring and Rewards: Understand our approach to scoring the agentβs outputs and providing partial rewards to guide its learning process.
Testing and Iteration: Watch as we test the agent in different scenarios and refine its behavior for better performance.
Whether youβre a beginner or an experienced developer, this project will give you valuable insights into combining Unity, ML-Agents, and NLP techniques to build a powerful chatbot.