diff --git a/examples/lazy_jit/lazyjit.en.ipynb b/examples/eager_jit/eagerjit.en.ipynb
similarity index 98%
rename from examples/lazy_jit/lazyjit.en.ipynb
rename to examples/eager_jit/eagerjit.en.ipynb
index 9cb343a1e..6a2bf8453 100644
--- a/examples/lazy_jit/lazyjit.en.ipynb
+++ b/examples/eager_jit/eagerjit.en.ipynb
@@ -21,7 +21,7 @@
    "id": "1ca2c56d",
    "metadata": {},
    "source": [
-    "# Tilelang Lazy JIT"
+    "# Tilelang Eager JIT"
    ]
   },
   {
@@ -37,7 +37,7 @@
    "id": "b070c109",
    "metadata": {},
    "source": [
-    "Tilelang Lazy JIT merges JIT kernel generation and invocation into a single workflow.\n",
+    "Tilelang Eager JIT merges JIT kernel generation and invocation into a single workflow.\n",
     "\n",
     "The function signature looks similar to Triton, but we add many enhancements; the most important one is allowing rich Tensor annotations:\n",
     "\n",
@@ -551,7 +551,7 @@
    "id": "860a2972",
    "metadata": {},
    "source": [
-    "LazyJIT has very small overhead; each additional constant annotation costs about 200 ns.\n",
+    "EagerJIT has very small overhead; each additional constant annotation costs about 200 ns.\n",
     "* 200 ns is roughly the cost of an FFI call that reads parameters from a `torch.Tensor`'s shape/stride."
    ]
   },
@@ -618,7 +618,7 @@
    "id": "8c6fbe08",
    "metadata": {},
    "source": [
-    "Both `lazyjit` and the original `jit` support parallel compilation.\n",
+    "Both EagerJIT and the original `jit` (i.e. LazyJIT) support parallel compilation.\n",
     "\n",
     "To avoid wasting memory on temporary `torch.Tensor` objects, you can use `T.Tensor` to create placeholders."
    ]
diff --git a/examples/lazy_jit/lazyjit.zh.ipynb b/examples/eager_jit/eagerjit.zh.ipynb
similarity index 99%
rename from examples/lazy_jit/lazyjit.zh.ipynb
rename to examples/eager_jit/eagerjit.zh.ipynb
index d7afafe69..0f7c9be99 100644
--- a/examples/lazy_jit/lazyjit.zh.ipynb
+++ b/examples/eager_jit/eagerjit.zh.ipynb
@@ -551,7 +551,7 @@
    "id": "860a2972",
    "metadata": {},
    "source": [
-    "LazyJIT overhead 很小，每个 constant 添加约 200ns 的 overhead\n",
+    "EagerJIT overhead 很小，每个 constant 添加约 200ns 的 overhead\n",
     "* 200ns 大约是从 torch.Tensor 的 shape/stride 中拿参数的 ffi call 的代价"
    ]
   },
@@ -618,7 +618,7 @@
    "id": "8c6fbe08",
    "metadata": {},
    "source": [
-    "lazyjit 和原来的 jit 都支持并行编译\n",
+    "Eager JIT 和原来的 jit（即 LazyJIT） 都支持并行编译\n",
     "\n",
     "为了防止 torch.tensor 白白浪费内存，可以使用 T.Tensor 来创建 placeholder"
    ]