Updated index

nlp/0_1_LLM.ipynb

@@ -43,20 +43,16 @@
    "source": [
     "# Table of Contents\n",
     "* [Objectives](#Objectives)\n",
-    "* [NLP Basics](#NLP-Basics)\n",
-    "    * [Spacy installation](#Spacy-installation)\n",
-    "    * [Spacy pipeline](#Spacy-pipeline)\n",
-    "    * [Tokenization](#Tokenization)\n",
-    "    * [Noun chunks](#Noun-chunks)\n",
-    "    * [Stemming](#Stemming)\n",
-    "    * [Sentence segmentation](#Sentence-segmentation)\n",
-    "    * [Lemmatization](#Lemmatization)\n",
-    "    * [Stop words](#Stop-words)\n",
-    "    * [POS](#POS)\n",
-    "    * [NER](#NER)\n",
-    "* [Text Feature extraction](#Text-Feature-extraction)\n",
-    "* [Classifying spam](#Classifying-spam)\n",
-    "* [Vectors and similarity](#Vectors-and-similarity)"
+    "* [Transformers](#Transformers)\n",
+    "* [Use cases: how to use pipelines](#Use-cases:-how-to-usepipelines)\n",
+    "    * Sentiment Analysis\n",
+    "    * Translation\n",
+    "    * Conversation\n",
+    "    * Masked Word Completion\n",
+    "    * Text generation\n",
+    "    * Question Answering\n",
+    "    * Text to Speech\n",
+    "* [References](#References)"
    ]
   },
   {
@@ -159,7 +155,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Usa cases: how to use pipeline"
+    "## Use cases: how to use pipelines"
    ]
   },
   {
@@ -748,7 +744,7 @@
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    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.5"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,