AI BriefingStarChat Released, Built on StarCoder
Key point
Introduces how to fine-tune StarCoder with ChatML and DeepSpeed to build the conversational coding assistant StarChat.
Details
StarCoder is an open-source model with 16B parameters, trained on 1 trillion tokens spanning more than 80 programming languages, GitHub issues, commits, and Jupyter notebooks. It offers an enterprise-friendly license, a context length of 8,192 tokens, and fast inference performance through multi-query attention.
This guide covers the technical process of turning StarCoder into a conversational model, StarChat. The main contents are as follows.
- Prompt engineering techniques for turning an LLM into a conversational agent
- Using OpenAI's ChatML, which provides a structured message format between users and AI
- How to fine-tune the model on a large-scale conversational dataset using Hugging Face Transformers and DeepSpeed ZeRO-3
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