Nemotron-550B-Base
AI overview
Sign in and the AI will write an overview from our coverage.
Headlines · 1
- Mirendil-Base trained by one researcher and AI agents
Mirendil says one researcher used AI agents to pretrain the 100B–500B-parameter, code-focused Mirendil-Base from scratch in 3.5 months for less than $10 million, including agent token usage, data processing, and research experiments. The company says agents wrote more than 99% of the code, while the researcher set direction, evaluated results, and intervened at key points; training used public data without purchased datasets, distillation, or synthetic data. Mirendil’s tests reported that Mirendil-Base ranked second behind Kimi K3 on cross-entropy across seven held-out code repositories, ahead of Nemotron-550B-Base, GLM-5.3, and DeepSeek-V4-Pro-Base.
36氪 人工智能 · 🔥 0
Experience and discussion from the community
Share my Nemotron-550B-Base experienceAsk about Nemotron-550B-Base
Nobody has shared their experience with Nemotron-550B-Base yet.