1 link tagged with all of: gpu-optimization + language-model-training
Click any tag below to further narrow down your results
Links
Recursive built an AI agent that autonomously proposes, implements, and validates research ideas over long horizons. On the NanoChat benchmark it cut validation loss by 0.0263 BPB versus the community best and rediscovered and combined techniques like hashed bigram/trigram embeddings, optimizer tweaks, and architecture modifications.
+ automated-research
language-model-training
gpu-optimization
+ n-gram-embeddings
+ transformer-tuning