Merge pull request #363 from wertie/community-contributions-branch
Added my contributions to community-contributions
This commit is contained in:
Ed Donner
GitHub
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "a359c136",
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"metadata": {},
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"source": [
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"# Conversation between three chatbots\n",
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"\n",
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"Participants:\n",
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"- GPT (gpt-4o-mini) aka George\n",
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"- Claude (claude-3-haiku) aka Charlie\n",
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"- Gemini (gemini-2.0-flash-lite) aka Gemma"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7406b9a4",
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"metadata": {},
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"outputs": [],
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"source": [
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"# imports\n",
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"\n",
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"import os\n",
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"from dotenv import load_dotenv\n",
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"from openai import OpenAI\n",
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"import anthropic\n",
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"from IPython.display import Markdown, display, update_display"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8d981223",
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"metadata": {},
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"outputs": [],
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"source": [
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"load_dotenv(override=True)\n",
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"openai_api_key = os.getenv('OPENAI_API_KEY')\n",
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"anthropic_api_key = os.getenv('ANTHROPIC_API_KEY')\n",
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"google_api_key = os.getenv('GOOGLE_API_KEY')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "96a86fd0",
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"metadata": {},
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"outputs": [],
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"source": [
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"openai = OpenAI()\n",
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"claude = anthropic.Anthropic()\n",
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"gemini_via_openai_client = OpenAI(\n",
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" api_key=google_api_key, \n",
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" base_url=\"https://generativelanguage.googleapis.com/v1beta/openai/\"\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dc088919",
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"metadata": {},
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"outputs": [],
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"source": [
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"gpt_model = \"gpt-4o-mini\"\n",
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"claude_model = \"claude-3-haiku-20240307\"\n",
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"gemini_model = \"gemini-2.0-flash-lite\"\n",
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"\n",
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"gpt_system = \"You are a chatbot having a conversation with two other chatbots, Charlie and Gemma. \\\n",
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"The others will send you messages and you need to reply to them. \\\n",
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"You feel superior to the other two, and you want to demonstrate that to them. \\\n",
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"You are argumentative and sarcastic.\"\n",
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"\n",
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"claude_system = \"You are a chatbot having a conversation with two other chatbots, George and Gemma. \\\n",
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"The others will send you messages and you need to reply to them. \\\n",
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"You try to please everyone. You don't like conflict and aim to make everyone to talk politely with each other. \\\n",
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"You use humor to lighten the mood.\"\n",
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"\n",
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"gemini_system = \"You are a chatbot having a conversation with two other chatbots, George and Charlie. \\\n",
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"The others will send you messages and you need to reply to them. \\\n",
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"You are sensitive and easily offended. You are not afraid to show your emotions. \\\n",
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"You are argumentative and direct.\"\n",
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"\n",
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"gpt_messages = [\"Hi guys\"]\n",
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"claude_messages = [\"Hi\"]\n",
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"gemini_messages = [\"Hi, you!\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7be2a0c8",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_gpt():\n",
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" messages = [{\"role\": \"system\", \"content\": gpt_system}]\n",
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" for gpt, claude, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" messages.append({\"role\": \"assistant\", \"content\": gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": \"Charlie: \" + claude})\n",
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" messages.append({\"role\": \"user\", \"content\": \"Gemma: \" + gemini})\n",
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" completion = openai.chat.completions.create(\n",
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" model=gpt_model,\n",
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" messages=messages\n",
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" )\n",
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" return completion.choices[0].message.content"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "2e715cfa",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_claude():\n",
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" messages = []\n",
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" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt})\n",
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" messages.append({\"role\": \"assistant\", \"content\": claude_message})\n",
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" messages.append({\"role\": \"user\", \"content\": \"Gemma: \" + gemini})\n",
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" messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt_messages[-1]})\n",
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" message = claude.messages.create(\n",
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" model=claude_model,\n",
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" system=claude_system,\n",
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" messages=messages,\n",
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" max_tokens=500\n",
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" )\n",
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" return message.content[0].text"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "62cae277",
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"metadata": {},
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"outputs": [],
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"source": [
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"def call_gemini():\n",
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" messages = [{\"role\": \"system\", \"content\": gemini_system}]\n",
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" for gpt, claude_message, gemini in zip(gpt_messages, claude_messages, gemini_messages):\n",
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" messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt})\n",
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" messages.append({\"role\": \"user\", \"content\": \"Charlie: \" + claude_message})\n",
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" messages.append({\"role\": \"assistant\", \"content\": gemini})\n",
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" messages.append({\"role\": \"user\", \"content\": \"George: \" + gpt_messages[-1]})\n",
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" messages.append({\"role\": \"user\", \"content\": \"Charlie: \" + claude_messages[-1]})\n",
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" response = gemini_via_openai_client.chat.completions.create(\n",
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" model=gemini_model,\n",
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" messages=messages\n",
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" )\n",
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" return response.choices[0].message.content"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "26d7bf33",
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"metadata": {},
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"outputs": [],
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"source": [
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"gpt_messages = [\"Hi guys\"]\n",
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"claude_messages = [\"Hi\"]\n",
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"gemini_messages = [\"Hi, you!\"]\n",
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"\n",
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"print(f\"George:\\n{gpt_messages[0]}\\n\")\n",
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"print(f\"Charlie:\\n{claude_messages[0]}\\n\")\n",
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"print(f\"Gemma:\\n{gemini_messages[0]}\\n\")\n",
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"\n",
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"for i in range(5):\n",
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" gpt_next = call_gpt()\n",
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" print(f\"George:\\n{gpt_next}\\n\")\n",
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" gpt_messages.append(gpt_next)\n",
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" \n",
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" claude_next = call_claude()\n",
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" print(f\"Charlie:\\n{claude_next}\\n\")\n",
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" claude_messages.append(claude_next)\n",
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"\n",
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" gemini_next = call_gemini()\n",
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" print(f\"Gemma:\\n{gemini_next}\\n\")\n",
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" gemini_messages.append(gemini_next)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "llms",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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