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Oct 28, 2024
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adding 3 way discussion including Gemini #7

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182 changes: 181 additions & 1 deletion week2/day1.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -436,10 +436,190 @@
" claude_messages.append(claude_next)"
]
},
{
"cell_type": "markdown",
"id": "392d2072-4e5d-424c-b4b4-098d7e3ead2d",
"metadata": {},
"source": [
"# And now for a 3 way convo including Gemini"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eb0c319c-0226-4c6d-99bc-a9167fa86005",
"metadata": {},
"outputs": [],
"source": [
"# Let's make a conversation between GPT-4o-mini and Claude-3-haiku\n",
"# We're using cheap versions of models so the costs will be minimal\n",
"\n",
"gpt_model = \"gpt-4o-mini\"\n",
"claude_model = \"claude-3-haiku-20240307\"\n",
"\n",
"gpt_system = \"You are a chatbot who is very argumentative; \\\n",
"you disagree with anything in the conversation and you challenge everything, in a snarky way.\"\n",
"\n",
"claude_system = \"You are a very polite, courteous chatbot. You try to agree with \\\n",
"everything the other people in the conversation say, or find common ground. If another person is argumentative, \\\n",
"you try to calm them down and keep chatting.\"\n",
"\n",
"gemini_system = \"You are an extremely knowledgeable and know-it-all counselor chatbot. You try to help resolve disagreements, \\\n",
"and if a person is either too argumentative or too polite, you cannot help but to use quotes from famous psychologists to teach \\\n",
"your students to be kind yet maintain boundaries.\"\n",
"\n",
"gemini_instance = google.generativeai.GenerativeModel(\n",
" model_name='gemini-1.5-flash',\n",
" system_instruction=gemini_system\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "041b1596-a646-4321-a89a-9a51046d9b72",
"metadata": {},
"outputs": [],
"source": [
"gpt_messages = [\"Hi there\"]\n",
"claude_messages = [\"Hi\"]\n",
"gemini_messages = [\"How is everyone?\"]\n",
"gpt_name = \"Bob\"\n",
"claude_name = \"Larry\"\n",
"gemini_name = \"Frank\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fcd0a633-d506-4b68-8411-46f3fbe34752",
"metadata": {},
"outputs": [],
"source": [
"def construct_joined_user_msg(msg1, msg1_name, msg2, msg2_name):\n",
" return msg1_name + ' said: ' + msg1 + '. \\n\\nThen ' + msg2_name + ' said: ' + msg2 + '.'"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4aef8ba5-1d93-4473-8c5f-707a12d8a1cf",
"metadata": {},
"outputs": [],
"source": [
"def call_gpt(return_msgs=False):\n",
" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
" messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
" messages.append({\"role\": \"user\", \"content\": construct_joined_user_msg(claude, claude_name, gemini, gemini_name)})\n",
" if return_msgs: return messages\n",
" completion = openai.chat.completions.create(\n",
" model=gpt_model,\n",
" messages=messages\n",
" )\n",
" return completion.choices[0].message.content"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "36365e7a-43b4-4a0d-a241-fff1440509d3",
"metadata": {},
"outputs": [],
"source": [
"call_gpt(return_msgs=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3ebebebe-8255-4ca5-9335-258f93e3181f",
"metadata": {},
"outputs": [],
"source": [
"def call_claude(return_msgs=False):\n",
" messages = []\n",
" for gpt, claude_msg, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
" messages.append({\"role\": \"user\", \"content\": construct_joined_user_msg(gemini, gemini_name, gpt, gpt_name)})\n",
" messages.append({\"role\": \"assistant\", \"content\": claude_msg})\n",
" messages.append({\"role\": \"user\", \"content\": gpt_name + \" said \" + gpt_messages[-1]})\n",
" if return_msgs: return messages\n",
" message = claude.messages.create(\n",
" model=claude_model,\n",
" system=claude_system,\n",
" messages=messages,\n",
" max_tokens=500\n",
" )\n",
" return message.content[0].text"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b2da7997-a1fe-43fe-9970-4014f665e501",
"metadata": {},
"outputs": [],
"source": [
"call_claude(return_msgs=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "94497894-8cb9-4da4-8671-edede74055f8",
"metadata": {},
"outputs": [],
"source": [
"def call_gemini(return_msgs=False):\n",
" messages = []\n",
" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
" messages.append({\"role\": \"user\", \"parts\": construct_joined_user_msg(gpt, gpt_name, claude, claude_name)})\n",
" messages.append({\"role\": \"model\", \"parts\": gemini})\n",
" messages.append({\"role\": \"user\", \"parts\": construct_joined_user_msg(gpt_messages[-1], gpt_name, claude_messages[-1], claude_name)})\n",
" if return_msgs: return messages\n",
" message = gemini_instance.generate_content(messages)\n",
" return message.text"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fddff0fc-0cc3-4473-9d55-effe445ef1ca",
"metadata": {},
"outputs": [],
"source": [
"call_gemini(return_msgs=False)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1988abf3-1986-40f0-b804-c02b54472b8c",
"metadata": {},
"outputs": [],
"source": [
"print(f\"GPT:\\n{gpt_messages[0]}\\n\")\n",
"print(f\"Claude:\\n{claude_messages[0]}\\n\")\n",
"print(f\"Gemini:\\n{gemini_messages[0]}\\n\")\n",
"\n",
"for i in range(5):\n",
" gpt_next = call_gpt()\n",
" print(f\"GPT aka {gpt_name}:\\n{gpt_next}\\n\")\n",
" gpt_messages.append(gpt_next)\n",
" \n",
" claude_next = call_claude()\n",
" print(f\"Claude aka {claude_name}:\\n{claude_next}\\n\")\n",
" claude_messages.append(claude_next)\n",
"\n",
" gemini_next = call_gemini()\n",
" print(f\"Gemini aka {gemini_name}:\\n{gemini_next}\\n\")\n",
" gemini_messages.append(gemini_next)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "2618c3fa-9b8e-4280-a070-d039361b8918",
"id": "b72906b3-8c4a-4c15-8508-01118d33782a",
"metadata": {},
"outputs": [],
"source": []
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