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Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes

Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes

Summarized by PinBrief · From Hacker News · 4h ago

Researcher Hugo Vergnes reported training a 3.8 billion‑parameter language model that reached a 0.384 CORE score while spending just $998. The experiment used commodity cloud GPUs and optimized training pipelines and open‑source tools to reduce compute expenses. Vergnes’ results illustrate that sizable models can be developed at sub‑thousand‑dollar budgets, potentially lowering entry barriers for AI research.

Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes — PinBrief