Updated explanations and tips

week2/day1.ipynb

@@ -14,6 +14,31 @@
     "Today we'll connect with the APIs for Anthropic and Google, as well as OpenAI."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "2b268b6e-0ba4-461e-af86-74a41f4d681f",
+   "metadata": {},
+   "source": [
+    "<table style=\"margin: 0; text-align: left;\">\n",
+    "    <tr>\n",
+    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
+    "            <img src=\"../important.jpg\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
+    "        </td>\n",
+    "        <td>\n",
+    "            <h2 style=\"color:#900;\">Important Note - Please read me</h2>\n",
+    "            <span style=\"color:#900;\">I'm continually improving these labs, adding more examples and exercises.\n",
+    "            At the start of each week, it's worth checking you have the latest code.<br/>\n",
+    "            First do a <a href=\"https://chatgpt.com/share/6734e705-3270-8012-a074-421661af6ba9\">git pull and merge your changes as needed</a>. Any problems? Try asking ChatGPT to clarify how to merge - or contact me!<br/><br/>\n",
+    "            After you've pulled the code, from the llm_engineering directory, in an Anaconda prompt (PC) or Terminal (Mac), run:<br/>\n",
+    "            <code>conda env update --f environment.yml --prune</code><br/>\n",
+    "            Or if you used virtualenv rather than Anaconda, then run this from your activated environment in a Powershell (PC) or Terminal (Mac):<br/>\n",
+    "            <code>pip install -r requirements.txt</code>\n",
+    "            </span>\n",
+    "        </td>\n",
+    "    </tr>\n",
+    "</table>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "85cfe275-4705-4d30-abea-643fbddf1db0",
@@ -465,30 +490,64 @@
     "    claude_messages.append(claude_next)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "1d10e705-db48-4290-9dc8-9efdb4e31323",
+   "metadata": {},
+   "source": [
+    "<table style=\"margin: 0; text-align: left;\">\n",
+    "    <tr>\n",
+    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
+    "            <img src=\"../important.jpg\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
+    "        </td>\n",
+    "        <td>\n",
+    "            <h2 style=\"color:#900;\">Before you continue</h2>\n",
+    "            <span style=\"color:#900;\">\n",
+    "                Be sure you understand how the conversation above is working, and in particular how the <code>messages</code> list is being populated. Add print statements as needed. Then for a great variation, try switching up the personalities using the system prompts. Perhaps one can be pessimistic, and one optimistic?<br/>\n",
+    "            </span>\n",
+    "        </td>\n",
+    "    </tr>\n",
+    "</table>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "3637910d-2c6f-4f19-b1fb-2f916d23f9ac",
    "metadata": {},
    "source": [
-    "# See the community-contributions folder\n",
+    "# More advanced exercises\n",
     "\n",
-    "For a great variation with a 3-way bringing Gemini into the conversation!\n",
+    "Try creating a 3-way, perhaps bringing Gemini into the conversation! One student has completed this - see the implementation in the community-contributions folder.\n",
     "\n",
-    "Try doing this yourself before you look in the folder.\n",
+    "Try doing this yourself before you look at the solutions.\n",
     "\n",
     "## Additional exercise\n",
     "\n",
-    "Try adding in an Ollama model in to the conversation.\n",
-    "\n",
-    "## Business relevance\n",
-    "\n",
-    "This structure of a conversation, as a list of messages, is fundamental to the way we build conversational AI assistants and how they are able to keep the context during a conversation. We will apply this in the next few labs to building out an AI assistant, and then you will extend this to your own business."
+    "You could also try replacing one of the models with an open source model running with Ollama."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "446c81e3-b67e-4cd9-8113-bc3092b93063",
+   "metadata": {},
+   "source": [
+    "<table style=\"margin: 0; text-align: left;\">\n",
+    "    <tr>\n",
+    "        <td style=\"width: 150px; height: 150px; vertical-align: middle;\">\n",
+    "            <img src=\"../business.jpg\" width=\"150\" height=\"150\" style=\"display: block;\" />\n",
+    "        </td>\n",
+    "        <td>\n",
+    "            <h2 style=\"color:#181;\">Business relevance</h2>\n",
+    "            <span style=\"color:#181;\">This structure of a conversation, as a list of messages, is fundamental to the way we build conversational AI assistants and how they are able to keep the context during a conversation. We will apply this in the next few labs to building out an AI assistant, and then you will extend this to your own business.</span>\n",
+    "        </td>\n",
+    "    </tr>\n",
+    "</table>"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0d86790a-3a6f-4b18-ab0a-bc6107945a27",
+   "id": "c23224f6-7008-44ed-a57f-718975f4e291",
    "metadata": {},
    "outputs": [],
    "source": []