Bypass ChatGPT Character Limit Restrictions

The video introduces a solution to the character limit issue when using AI platforms like Chat GPT. The creator, frustrated by the inability to process long transcripts, developed the 'Chat GPT Chunker', a tool that allows users to input lengthy texts without hitting token limits or losing context. By breaking the text into chunks, the AI can maintain coherence and accuracy, even with inputs of up to 20 chunks. The tool is free to use and has significantly improved the creator's AI experience, offering a valuable resource for those working with large volumes of text.

Takeaways

• 🎧 The frustration of dealing with long transcripts led to the creation of the 'Chat GPT Chunker' app.
• 🚫 Chat GPT has a token limit, which can be around 4,000 tokens, including both input and output.
• 🔍 GPT4 can handle more tokens, up to 8,000 and even 32,000, which equates to about 160,000 words.
• 💡 The 'Chat GPT Chunker' allows users to bypass the token limit issue by breaking down long texts into manageable chunks.
• 📄 It's useful for processing lengthy content like entire podcast transcripts or books without losing context.
• 📌 An example is provided where a script is broken into chunks, with the first prompt giving context and subsequent ones following.
• 📝 The format for pasting prompts into Chat GPT is emphasized to maintain context and accuracy.
• 🔗 The tool is accessible for free at conturata.com/AI/chunker, aiming to enhance the AI experience.
• 📈 The app has been a game-changer for the creator's workflow and is expected to benefit others as well.
• 📚 The tool can handle up to 20 chunks of input, demonstrating its ability to manage extensive content.
• 📋 The importance of copying and pasting everything as-is to preserve the format that maintains context is highlighted.
• 📺 The video encourages viewers to subscribe for more fascinating content and suggests watching the next video.

Q & A

What was the main issue the speaker faced when trying to use Chat GPT for a long podcast transcript?

The main issue was that the podcast transcript was too long for Chat GPT to handle due to the token limit, causing the AI to get confused and produce gibberish.

What is a token limit in the context of AI platforms like Chat GPT?

A token limit refers to the maximum number of tokens, or units of text, that an AI platform can process at once. For Chat GPT, this limit is around 4,000 tokens, which includes both input and output.

How does the 'chat GPT chunker' tool help users bypass the token limit issue?

The 'chat GPT chunker' allows users to break down lengthy text into smaller parts, or 'chunks', which can then be inputted into Chat GPT without exceeding the token limit or losing context.

What is the maximum number of tokens that gpt4 can handle?

Gpt4 can handle up to 8,000 tokens and even up to 32,000 tokens, which equates to around 160,000 words.

How does the speaker demonstrate the effectiveness of the 'chat GPT chunker'?

The speaker demonstrates the effectiveness by using the tool to chunk a script into parts, then pasting each part into Chat GPT one by one, showing that even with up to 20 chunks, the AI can maintain context and provide accurate responses.

Where can users find and try the 'chat GPT chunker' tool?

Users can find and try the 'chat GPT chunker' tool by visiting conturata.com/AI/chunker or by finding the link in the description of the provided transcript.

What was the speaker's motivation for creating the 'chat GPT chunker'?

The speaker's motivation for creating the 'chat GPT chunker' was frustration with the limitations of Chat GPT when trying to process a long podcast transcript for show notes and title generation.

How does the 'chat GPT chunker' maintain context when processing multiple chunks of text?

The 'chat GPT chunker' maintains context by giving Chat GPT the initial context and task with the first prompt, and then feeding the subsequent chunks one by one, ensuring that the AI can hold all the context and pull the information correctly.

What is the average word count of a book, and how does it compare to the token limit of gpt4?

The average word count of a book is around 80,000 words. Gpt4's token limit of 32,000 tokens, which equates to approximately 160,000 words, is significantly higher than this average.

How does the 'chat GPT chunker' tool improve the user's AI experience according to the speaker?

The 'chat GPT chunker' tool improves the user's AI experience by allowing them to work with lengthy texts without hitting token limit issues, thus enhancing their ability to utilize AI for tasks such as processing podcast transcripts or books.

What is the recommended approach when using the 'chat GPT chunker' tool with Chat GPT?

The recommended approach is to paste the first prompt, which provides context and task, into Chat GPT, and then paste all the other prompts one by one, maintaining the format as is to ensure the AI can process the text correctly.

What is the significance of the 'chat GPT chunker' tool in the workflow of content creators?

The 'chat GPT chunker' tool is significant as it enables content creators to leverage AI for processing and analyzing large volumes of text, such as entire podcast transcripts or books, which would otherwise be impractical due to token limit restrictions.

Outlines

00:00

📚 Introducing Chat GPT Chunker for Long Transcripts

The speaker describes their frustration with the limitations of AI platforms like Chat GPT when dealing with long transcripts, such as podcast episodes. They explain that the token limit of Chat GPT, which is around 4,000 tokens, poses a challenge when trying to process lengthy texts. To overcome this, they developed an app called 'Chat GPT Chunker' that allows users to break down large texts into smaller chunks, thus avoiding token limit issues and maintaining context. The speaker provides a step-by-step guide on how to use the tool, demonstrating its effectiveness with an example and encouraging others to try it out.

Keywords

💡Chat GPT

Chat GPT refers to an AI chatbot developed by OpenAI that can engage in conversation with users. In the context of the video, it is the AI that the speaker initially struggles to use due to character limit restrictions when dealing with long transcripts.

💡Podcast Transcript

A podcast transcript is a written version of the audio content from a podcast episode. The video discusses the challenge of using Chat GPT to analyze long podcast transcripts due to token limit issues.

💡Token Limit

A token limit in AI refers to the maximum number of tokens, or units of text, that the AI can process at one time. For Chat GPT, this limit is around 4,000 tokens, which includes both input and output. The video highlights this as a barrier to analyzing longer texts.

💡Context

Context is the setting in which a piece of information is presented, which helps in understanding its meaning. The video emphasizes the importance of maintaining context when breaking down text for AI analysis, as losing context can lead to confusion.

💡Chunking

Chunking, in the context of the video, refers to the process of breaking down a large text into smaller, manageable parts to overcome token limit restrictions. The speaker introduces a tool called 'chat GPT chunker' to facilitate this process.

💡GPT4

GPT4 is a more advanced version of the AI language model that can handle a larger number of tokens, up to 8,000 and even 32,000 tokens, which equates to a significant amount of text. The video mentions GPT4 as an improvement over the base Chat GPT model.

💡Conturata.com AI

Conturata.com AI is the website mentioned in the video where the 'chat GPT chunker' tool can be found. It is a resource that the speaker created to help users bypass the token limit restrictions of Chat GPT.

💡Workflow

A workflow refers to a set of connected processes or steps that are undertaken to achieve a specific goal. The video describes how the 'chat GPT chunker' has become an integral part of the speaker's workflow for handling AI-related tasks.

💡Frustrated

The term 'frustrated' is used in the video to describe the speaker's emotional state when faced with the limitations of Chat GPT. This feeling led to the creation of a solution, the 'chat GPT chunker', to overcome the obstacles faced.

💡Script

In the context of the video, a script refers to the text that is input into the AI for processing. The speaker demonstrates how to use the 'chat GPT chunker' to input lengthy scripts while maintaining the AI's ability to understand and respond accurately.

💡AI Experience

AI experience refers to the overall interaction and engagement with artificial intelligence, such as using AI tools and platforms. The video discusses how the 'chat GPT chunker' has significantly improved the speaker's AI experience by allowing for more effective use of AI in analyzing long texts.

Highlights

The frustration of handling long transcripts led to the creation of the 'Chat GPT Chunker' app.

Chat GPT has a token limit of around 4,000 tokens for input and output.

GPT4 can handle up to 8,000 tokens and even 32,000 tokens, which equates to approximately 160,000 words.

The 'Chat GPT Chunker' allows users to input lengthy text without running into token limit issues.

The tool can maintain context even when dealing with up to 20 chunks of text.

The 'Chat GPT Chunker' is free to use and helps bypass limitations of the AI platform.

The app has become a staple in the creator's workflow for managing AI interactions with long texts.

The process involves pasting the script, selecting a token limit, and chunking the text for AI interaction.

The format for using the 'Chat GPT Chunker' is to copy and paste each chunk as is to maintain context.

The tool ensures that AI can pull information correctly even with large amounts of input text.

The 'Chat GPT Chunker' is accessible via conturata.com/AI/chunker.

The app significantly enhances the AI experience by managing long text interactions effectively.

The transcript discusses the limitations of AI platforms when dealing with long text inputs.

The solution provided by the 'Chat GPT Chunker' prevents loss of context in lengthy conversations with AI.

The 'Chat GPT Chunker' is a practical application that arose from a personal need to manage podcast transcripts.

The tool allows for the creation of show notes and titles for podcast episodes using AI, despite length restrictions.

The 'Chat GPT Chunker' ensures that AI can handle large texts like books and podcasts without errors.

The app is a testament to how user frustration can lead to innovative solutions in AI technology.

The 'Chat GPT Chunker' is a valuable tool for anyone working with AI and needing to manage long text data.