Expired60% confidenceFactExact time
The Grok series of models is trained on a large-scale Transformer architecture, with training data including real-time public data streams from the X platform
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Grok Free Usage Guide: A Complete Breakdown of AI Chat and Image Generation Features
bilibili思思taurus6/6/2026
Related Claims
VerifiedCompared to RNN/LSTM architectures, Transformers can be highly parallelized during training, making it possible to train models with hundreds of billions of parameters69% similarUnverified2017年Transformer架构问世后，训练前沿模型所需的计算资源呈指数级增长68% similarUnverified现代嵌入模型通常基于Transformer架构，通过大规模对比学习训练，典型嵌入维度从128维到4096维不等67% similarUnverifiedThe Grok model's training data comes from X (formerly Twitter), covering diverse corpora ranging from formal business communication to internet slang.66% similarUnverifiedDistributed training strategies such as DeepSpeed ZeRO, FSDP, tensor parallelism, and pipeline parallelism are necessary tools for training large video models.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/50444API
curl https://kongchang.com/api/v1/knowledge/claims/50444MCP
get_claim(id=50444)