GPT-4: Replit, an online coding platform, has developed a system to train its own Large Language Models (LLMs) for code generation. The company uses a combination of Databricks, Hugging Face, and MosaicML to create custom models that are cost-efficient, tailored to specific needs, and reduce dependency on AI providers. The process involves building robust data pipelines, preprocessing data, tokenization, model training, evaluation, and deployment to production. The company plans to open source some of its models and is working on an evaluation framework for multi-language benchmarks.
Read more at Replit Blog…
