Expired50% confidenceFactExact time
In the LLM field, GELU (Gaussian Error Linear Unit) and SwiGLU are becoming the mainstream activation function choices.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Neural Networks from Scratch: A Deep Dive into the Fundamentals from Linear Regression to Gradient Descent
bilibiliAI课堂6/11/2026
Related Claims
VerifiedThe LLaMA model series uses the SwiGLU activation function.71% similarUnverifiedSwiGLU将Swish激活函数与门控线性单元（GLU）结合，Google在PaLM模型中首先大规模应用，实验表明在相同参数量下比ReLU、GeLU等激活函数带来约8%的性能提升64% similarVerifiedFrom a Bayesian perspective, L1 regularization corresponds to a Laplace prior on the parameters, and L2 regularization corresponds to a Gaussian prior.63% similarUnverified选择性量化思路与LLM领域的GPTQ、AWQ等量化方法一脉相承63% similarVerifiedLarge language models are divided into two major types: base models (Base LLM) and instruction-tuned models (Instruction-tuned LLM)62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/47626API
curl https://kongchang.com/api/v1/knowledge/claims/47626MCP
get_claim(id=47626)