Expired60% confidenceFactTime unknown
Mainstream generative large models such as GPT-4, LLaMA, and Qwen adopt a Decoder-only architecture; BERT and RoBERTa adopt an Encoder-only architecture; T5 and BART adopt an Encoder-Decoder architecture.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
VerifiedBERT uses an encoder architecture, the GPT series uses a decoder architecture, and T5 and BART use an encoder-decoder architecture79% similarPartially VerifiedThe GPT series adopts a Decoder-only architecture.79% similarVerifiedGPT-4和Mixtral等主流大模型也采用了MoE架构74% similarUnverifiedOpen-source models such as Llama 3.1 (Meta), Mistral 7B/8x7B, and Qwen2.5-Coder (Alibaba Cloud) have reached practical performance levels approaching GPT-4 on code and configuration generation tasks.73% similarUnverifiedMature developers should simultaneously master multiple models, including domestic ones such as DeepSeek and Qwen, as well as foreign ones such as OpenAI GPT-4o, o3, and Claude 3.5/3.7/4.0.72% similar
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