From dec89241a739929b33c15339fa6419194d8c9f6f Mon Sep 17 00:00:00 2001
From: Thomas Capelle <tcapelle@pm.me>
Date: Wed, 31 May 2023 13:04:34 +0200
Subject: [PATCH] clean up

---
 llm-apps-course/Introduction.ipynb | 100 +++++------------------------
 1 file changed, 15 insertions(+), 85 deletions(-)

diff --git a/llm-apps-course/Introduction.ipynb b/llm-apps-course/Introduction.ipynb
index 21e30aa1..01cf2bfa 100644
--- a/llm-apps-course/Introduction.ipynb
+++ b/llm-apps-course/Introduction.ipynb
@@ -1,7 +1,6 @@
 {
  "cells": [
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -10,7 +9,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -21,7 +19,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -31,11 +28,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "!pip install --upgrade openai tiktoken wandb -qq"
@@ -44,11 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "import os\n",
@@ -61,7 +50,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -71,11 +59,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "if os.getenv(\"OPENAI_API_KEY\") is None:\n",
@@ -88,7 +72,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -98,11 +81,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "# start logging to W&B\n",
@@ -110,7 +89,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -120,11 +98,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "encoding = tiktoken.encoding_for_model(\"text-davinci-003\")\n",
@@ -134,7 +108,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -144,11 +117,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "for token_id in enc:\n",
@@ -156,7 +125,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -164,7 +132,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -172,7 +139,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -183,11 +149,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def generate_with_temperature(temp):\n",
@@ -204,11 +166,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "for temp in [0, 0.5, 1, 1.5, 2]:\n",
@@ -216,7 +174,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -226,11 +183,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "def generate_with_topp(topp):\n",
@@ -247,11 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "for topp in [0.01, 0.1, 0.5, 1]:\n",
@@ -259,7 +208,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -267,7 +215,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -279,11 +226,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "MODEL = \"gpt-3.5-turbo\"\n",
@@ -300,7 +243,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -310,11 +252,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "pprint(response.choices[0].message.content)"
@@ -323,11 +261,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
     "wandb.finish()"
@@ -336,11 +270,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {
-    "vscode": {
-     "languageId": "python"
-    }
-   },
+   "metadata": {},
    "outputs": [],
    "source": []
   }
@@ -358,5 +288,5 @@
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }