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News, resources, and updates about ChatGPT to Notion

How to Batch Save ChatGPT Conversation to Notion

How to Batch Save ChatGPT Conversation to Notion

This guide will help you efficiently save multiple ChatGPT conversations to Notion in one go.

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How to use ChatGPT to Notion for a single chat

How to use ChatGPT to Notion for a single chat

How to use ChatGPT to Notion

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ChatGPT to Notion Introduction

ChatGPT to Notion Introduction

✨ Save your ChatGPT conversations to Notion with ease! This powerful extension helps you organize and preserve your valuable AI interactions in your Notion workspace.

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The Ultimate ChatGPT to Notion Exporter: Bulk Save Your Conversations Instantly

The Ultimate ChatGPT to Notion Exporter: Bulk Save Your Conversations Instantly

Tired of manually copying and pasting your ChatGPT conversations into Notion? Say goodbye to tedious workflows and hello to effortless organization with the

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Tired of Messy ChatGPT Notes? Organize Everything in Notion Automatically

Tired of Messy ChatGPT Notes? Organize Everything in Notion Automatically

Do your best ChatGPT ideas disappear into a black hole of disorganized chats? Are you wasting time

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Never Lose a ChatGPT Idea Again: The Easiest Way to Export to Notion

Never Lose a ChatGPT Idea Again: The Easiest Way to Export to Notion

Have you ever had a brilliant ChatGPT response—only to lose it in the endless scroll of your chat history? Whether you're a

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The Claude 4 system prompt

The Claude 4 system prompt

The Claude 4 system prompt

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Why I Use the ChatGPT to Notion Plugin as a Consultant

Why I Use the ChatGPT to Notion Plugin as a Consultant

However, as the number of conversations increases, organizing and retrieving these valuable interactions systematically has become a new challenge.

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Why Every Hotel Manager Should Use the ChatGPT to Notion Plugin

Why Every Hotel Manager Should Use the ChatGPT to Notion Plugin

How ChatGPT to Notion Solves Hotel Managers Face

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Learning Map | Crafting Clear Instructions

Learning Map | Crafting Clear Instructions

Craft Clear Instructions - Add Details and Elaborate

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12 Selected Prompt Frameworks: The Path to AGI

12 Selected Prompt Frameworks: The Path to AGI

12 Selected Prompt Frameworks: The Path to AGI

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OpenAI Official Prompt Engineering Guide

OpenAI Official Prompt Engineering Guide

This guide shares how to more effectively use large language models like GPT-4 (sometimes called GPT models) to achieve better results. The methods introduced can be combined with each other to exert greater effects. We encourage you to experiment and find the techniques that work best for you.

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introduction to the AIGPT Prompt Engineering Course for Developers

introduction to the AIGPT Prompt Engineering Course for Developers

introduction to the AIGPT Prompt Engineering Course for Developers

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Best Practices Guide for Prompt Engineering (Beginner-Friendly)

Best Practices Guide for Prompt Engineering (Beginner-Friendly)

Best Practices Guide for Prompt Engineering (Beginner-Friendly)

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Summary Applications

Summary Applications

Summary Applications,Therefore, one of the most exciting applications of large language models I see is using them to summarize text. This is something I’ve observed multiple teams building into various software applications.

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Developing Prompts for Large Language Models: Iterative Process and Case Studies

Developing Prompts for Large Language Models: Iterative Process and Case Studies

Developing Prompts for Large Language Models: Iterative Process and Case Studies

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Text Processing Capabilities and Application Examples of Large Language Models

Text Processing Capabilities and Application Examples of Large Language Models

Text Processing Capabilities and Application Examples of Large Language Models

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Inference Applications

Inference Applications

Inference Applications

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Cursor memeory prompt

Cursor memeory prompt

Cursor memeory prompt

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From Prompts to Agency: How ChatGPT o3’s System Design Signals the Rise of True AI Agents

From Prompts to Agency: How ChatGPT o3’s System Design Signals the Rise of True AI Agents

This article unpacks the 30,000-word system prompt of ChatGPT o3, showing how its rigorous design and workflow structure mark a turning point: AI is evolving from a basic text generator into a truly adaptable, intelligent agent.

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Building Custom Chatbots with Large Language Models

Building Custom Chatbots with Large Language Models

Building Custom Chatbots with Large Language Models

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Expansion and Applications of Large Language Models

Expansion and Applications of Large Language Models

Expansion and Applications of Large Language Models

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The Popularity of "New Chinese Interpretations" Prompts Sparks Reflection: Professional AI Engineers Discuss How to Craft Effective Prompts

The Popularity of "New Chinese Interpretations" Prompts Sparks Reflection: Professional AI Engineers Discuss How to Craft Effective Prompts

The Popularity of "New Chinese Interpretations" Prompts Sparks Reflection: Professional AI Engineers Discuss How to Craft Effective Prompts

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Advanced Prompt Engineering Guide

Advanced Prompt Engineering Guide

Advanced Prompt Engineering Guide

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The prompt development lifecycle

The prompt development lifecycle

The prompt development lifecycle

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Claude works by sequence prediction

Claude works by sequence prediction

Claude works by sequence prediction

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Crafting effective examples

Crafting effective examples

Crafting effective examples

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Provide detailed context and instructions

Provide detailed context and instructions

Provide detailed context and instructions

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What are XML tags?

What are XML tags?

What are XML tags?

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How role prompting works

How role prompting works

How role prompting works

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How to prompt for thinking step-by-step

How to prompt for thinking step-by-step

How to prompt for thinking step-by-step

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Tips for effective prompt chaining

Tips for effective prompt chaining

Tips for effective prompt chaining

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Specifying the desired format

Specifying the desired format

Specifying the desired format

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prefill Claude's response

prefill Claude's response

prefill Claude's response

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Claude Long Context Window Guide

Claude Long Context Window Guide

Claude Long Context Window Guide

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Guide to Requesting Rewrites with Claude

Guide to Requesting Rewrites with Claude

Guide to Requesting Rewrites with Claude

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Basic Prompts

Basic Prompts

Basic Prompts

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Large Language Model (LLM) Parameter Settings Explanation

Large Language Model (LLM) Parameter Settings Explanation

Large Language Model (LLM) Parameter Settings Explanation

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Prompt Engineering Tips and Best Practices

Prompt Engineering Tips and Best Practices

Prompt Engineering Tips and Best Practices

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Analysis of Prompt Elements

Analysis of Prompt Elements

Analysis of Prompt Elements

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Zero-Shot Learning, Instruction Tuning, and Few-Shot Prompting in Large Language Models

Zero-Shot Learning, Instruction Tuning, and Few-Shot Prompting in Large Language Models

Zero-Shot Learning, Instruction Tuning, and Few-Shot Prompting in Large Language Models

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Examples and Key Concepts of Prompt Usage

Examples and Key Concepts of Prompt Usage

Examples and Key Concepts of Prompt Usage

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Chain of Thought (CoT) Prompting

Chain of Thought (CoT) Prompting

Chain of Thought (CoT) Prompting

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Overview of Few-Shot Prompting

Overview of Few-Shot Prompting

Overview of Few-Shot Prompting

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Enhancing Commonsense Reasoning in LLMs via Knowledge Generation

Enhancing Commonsense Reasoning in LLMs via Knowledge Generation

Enhancing Commonsense Reasoning in LLMs via Knowledge Generation

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Self-Consistency in Prompt Engineering

Self-Consistency in Prompt Engineering

Self-Consistency in Prompt Engineering

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Overview of the Tree of Thoughts (ToT) Framework

Overview of the Tree of Thoughts (ToT) Framework

Overview of the Tree of Thoughts (ToT) Framework

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Analysis of Prompt Chaining Technology

Analysis of Prompt Chaining Technology

Analysis of Prompt Chaining Technology

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ART Framework: Automatic Reasoning and Tool-use Approach

ART Framework: Automatic Reasoning and Tool-use Approach

ART Framework: Automatic Reasoning and Tool-use Approach

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Introduction to Retrieval-Augmented Generation (RAG)

Introduction to Retrieval-Augmented Generation (RAG)

Introduction to Retrieval-Augmented Generation (RAG)

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