Baidu says ERNIE Evolve beats NanoChat and NanoGPT records
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Product
nanochat
- Mentions · 7d1
- Mentions · 30d1
- All mentions3
- First seenSep 10, 2026
- Last mentioned2d ago
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3 articles · newest firstMoME: Mixture-of-Memory Embeddings for Context-Aware Sparse Lookup
MoME introduces context-aware memory embeddings with gated multi-slot lookup, improving LLM efficiency across Llama-3 and Qwen3 backbones.
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Training a 3.8B LLM to 0.384 CORE for $998 – Hugo Vergnes
Independent developer Hugo Vergnes trained a 3.8B-parameter Llama-style model to 0.384 CORE on 65B tokens for $998 in 43 hours on rented B200s.
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