add figures ch05

Author: leandro

05_text-generation.ipynb

@@ -41,13 +41,34 @@
     "# Text Generation"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img alt=\"LM Meta Learning\" width=\"800\" caption=\"During pretraining, language models are exposed to sequences of tasks that can be adapted during inference (courtesy of Tom B. Brown)\" src=\"images/chapter05_lm-meta-learning.png\" id=\"lm-meta-learning\"/>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img alt=\"Meena\" width=\"300\" caption=\"Meena on the left telling a corny joke to a human on the right (courtesy of Daniel Adiwardana and Thang Luong)\" src=\"images/chapter05_meena.png\" id=\"meena\"/>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## The Challenge with Generating Coherent Text"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img alt=\"Text generation\" width=\"700\" caption=\"Generating text from an input sequence by adding a new word to the input at each step\" src=\"images/chapter05_text-generation.png\" id=\"text-generation\"/> "
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -320,6 +341,13 @@
     "## Beam Search Decoding"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img alt=\"Beam search\" width=\"700\" caption=\"Beam search with two beams—the most probable sequences at each timestep are highlighted in blue\" src=\"images/chapter05_beam-search.png\" id=\"beam-search\"/> "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,