Testing the NEW context window of GPT-4-Turbo (inside ChatGPT)

WesGPT
10 Nov 202311:00

TLDRIn the Open AI Dev day keynote, Sam Alman discussed the significant update to GPT-4 Turbo, which now supports a context window of up to 128,000 tokens, a substantial increase from the previous 8K tokens. This enhancement is particularly beneficial for developers needing to handle larger codebases or extensive textual analysis. Despite the API model's increased capacity, Chat GPT's context window remains approximately 8,000 tokens, equivalent to 3,000 to 4,000 words, based on a test conducted in the video. The test involved feeding Chat GPT extensive text from a Wikipedia article and a 'secret code' to assess its memory and processing capabilities within the given context window. Even surpassing 10,000 tokens, Chat GPT successfully recalled the 'secret code,' demonstrating the practicality of the upgraded context length for complex tasks.

Takeaways

  • 🚀 Sam Alman announced GPT-4 Turbo, a significant update for OpenAI's language model, increasing the context window from 8K to 128K tokens.
  • 📚 The new context window is equivalent to 300 pages of a textbook, a vast improvement for handling complex tasks and longer texts.
  • 🔍 The update does not explicitly mention the context window change for ChatGPT, but it is implied that ChatGPT now uses GPT-4 Turbo with an updated knowledge cutoff date of April 2023.
  • 🤖 ChatGPT claims its context window is approximately 8,000 tokens, which is equivalent to 3,000 to 4,000 words, based on the video's testing.
  • 🧠 The video demonstrates ChatGPT's ability to remember a 'secret code' (mango) even with a large amount of text input, indicating a functional increase in context length.
  • 📈 Through testing, the video shows that ChatGPT can handle up to 10,000 tokens and still recall the 'secret code', surpassing previous limitations.
  • 🔢 The video creator conducted a series of tests to push the limits of ChatGPT's context window, eventually reaching over 22,000 tokens.
  • 💡 The increased context window allows for more extensive inputs, such as entire articles, codebases, or chapters of books, enabling more comprehensive tasks.
  • 🌐 The video highlights the practical implications of the context window upgrade, such as summarizing large texts or making detailed code modifications.
  • 🔄 The video's tests also show that the input box can handle more than 10,000 tokens at once, a notable improvement from previous versions.
  • 🎉 The video concludes that the new context window is large enough for most use cases, with the actual limit potentially being even higher than tested.

Q & A

  • What is the new context length or context window for GPT-4, also known as GPT-4 Turbo?

    -The new context length for GPT-4 Turbo is up to 128,000 tokens, which is equivalent to 300 pages of a textbook.

  • How has the context window for GPT-4 Turbo changed compared to previous models?

    -Previously, the model's context window was 8,000 tokens, expandable to 32,000 tokens in some cases. GPT-4 Turbo now supports up to 128,000 tokens, a significant increase.

  • What did Sam Alman mention about Chat GPT's context window during the AI Dev day keynote speech?

    -Sam Alman mentioned that Chat GPT now uses the latest model, GPT-4 Turbo, which includes the latest knowledge cut-off date of April 2023. However, he did not specify the new context window for Chat GPT.

  • What was the approximate context window for Chat GPT before the update, according to a previous video on the user's channel?

    -Before the update, the context window for Chat GPT was somewhere between 3,000 and 4,500 tokens.

  • How did the user test the new context window of Chat GPT?

    -The user tested the new context window by inputting a large amount of text from a Wikipedia article, aiming to reach the token limit, and then asking Chat GPT to recall a 'secret code' that was provided at the beginning of the conversation.

  • What was the 'secret code' used in the user's test?

    -The 'secret code' used in the user's test was 'mango'.

  • What was the outcome of the user's test when they exceeded the previous context window limit?

    -Even after exceeding the previous context window limit of around 4,500 tokens, Chat GPT was still able to recall the 'secret code' 'mango', indicating that the context window has significantly increased.

  • How many tokens did the user manage to input in their longest test?

    -In the longest test, the user managed to input 22,335 tokens.

  • What is the significance of the increased context window for developers?

    -The increased context window is significant for developers as it allows them to input larger chunks of code, text, or data for analysis, summarization, or modification without the risk of the model losing context.

  • What is the user's conclusion about the new context window for Chat GPT?

    -The user concludes that the new context window for Chat GPT is significantly larger than before, although the exact limit was not confirmed. They suggest it is large enough for 95% of use cases and challenge others to find out if it reaches the 32,000 token limit as mentioned by Sam Altman.

Outlines

00:00

🚀 Introduction to GPT-4 Turbo and its Enhanced Context Window

In the AI Dev day keynote, Sam Alman introduced GPT-4 Turbo, highlighting its significantly expanded context window from 8K tokens to 128K tokens, equivalent to 300 pages of a textbook. This update is particularly important for developers who require larger context windows for tasks such as coding, game development, and app building. The speech also mentioned that Chat GPT now utilizes GPT-4 Turbo, including the latest knowledge update as of April 2023. However, the exact context window size for Chat GPT post-update was not explicitly stated, prompting further investigation.

05:01

🧠 Testing Chat GPT's New Context Window Limit

The video creator conducted a series of tests to determine the new context window limit of Chat GPT after the GPT-4 Turbo update. Initially, it was found that Chat GPT claims a context window of approximately 8,000 tokens, or 3,000 to 4,000 words. Through a 'secret code' test, involving referencing a code ('mango') throughout the conversation, the creator confirmed that Chat GPT can remember and respond to the code even when the token count exceeded 10,000. This demonstrated a significant increase in the context window, which is a welcome improvement for developers and coders who require longer contexts for complex tasks.

10:03

📈 Results of Chat GPT Context Window Experiment

The experiment aimed to push the limits of Chat GPT's context window by inputting large amounts of text from a Wikipedia article about Skyfall. After surpassing 10,000 tokens and reaching up to 22,335 tokens, Chat GPT was still able to recall the 'secret code' ('mango'), indicating a substantial increase in the context window. The video also noted that the input box can handle more than 10,000 tokens at once, which was a limitation in previous versions. This suggests that users can now input entire articles, codebases, or chapters of books for analysis and manipulation, greatly expanding the capabilities and usability of Chat GPT.

Mindmap

Keywords

💡Open AI Dev Day

Open AI Dev Day is an event where OpenAI, the company behind AI technologies like GPT, hosts developers and enthusiasts to share updates, insights, and advancements in AI technology. In the context of the video, it's where Sam Alman discussed the new GPT-4 Turbo model and its increased context window.

💡Context Length or Window

The context length or window refers to the amount of previous text or conversation that an AI model can consider or remember when generating a response. A larger context window allows the AI to understand and respond to more complex and longer conversations or texts. In the video, it's highlighted that GPT-4 Turbo can support up to 128,000 tokens, a significant increase from previous models.

💡GPT-4 Turbo

GPT-4 Turbo is the latest iteration of the Generative Pre-trained Transformer models developed by OpenAI. It features an expanded context window, allowing it to process and generate responses for significantly longer texts. This model is a major update that enables more sophisticated and nuanced AI interactions.

💡Knowledge Cut-off Date

The knowledge cut-off date is the point in time up to which the AI model has been trained on information. It's important because it determines the currency of the data the AI can reference. In the video, it's mentioned that GPT-4 Turbo includes the latest knowledge cut-off date, which is April 2023.

💡Chat GPT

Chat GPT is a variant of the GPT models specifically designed for conversational AI, where it can engage in dialogue with users, answering questions, generating text, and more. The video explores the improvements in Chat GPT's context window with the new GPT-4 Turbo update.

💡Token

In the context of AI and natural language processing, a token is a basic unit of text, such as a word, number, or punctuation mark. The number of tokens an AI model can process at once is indicative of its context window size. The video discusses the increase in the context window by referring to the number of tokens GPT-4 Turbo can handle.

💡Secret Code Test

The secret code test is a method used in the video to measure the AI's ability to remember information over a long conversation. By providing a 'secret code' at the beginning and then referencing it later, the test assesses whether the AI can recall the information despite the length of the conversation.

💡Tokenizer

A tokenizer is a tool used in natural language processing to convert text into tokens, which are discrete units like words or sentences. It helps in understanding how much text an AI model can process by counting the number of tokens. In the video, the tokenizer is used to measure the number of tokens in the text inputted to Chat GPT.

💡Context Window Limit

The context window limit refers to the maximum amount of previous text an AI model can consider when generating a response. If the text exceeds this limit, the AI may not be able to remember or process information from the entire conversation. The video demonstrates testing the increased context window limit of Chat GPT with GPT-4 Turbo.

💡Skyfall

Skyfall is used as an example in the video to test the AI's context window. The speaker selects a random article about Skyfall, the James Bond film, to copy and paste into Chat GPT to see how much text can be processed before the AI forgets the 'secret code'.

💡Input Box Limit

The input box limit refers to the maximum amount of text that can be entered into the chat box at one time before submitting it to the AI. The video demonstrates that the input box limit for Chat GPT has been increased, allowing users to input more text at once.

Highlights

Sam Alman discusses the new context length for GPT-4, now called GPT-4 Turbo, during the Open AI Dev day keynote speech.

The previous model's context window was 8K tokens, expandable to 32K tokens in some cases.

GPT-4 Turbo supports up to 128,000 tokens, equivalent to 300 pages of a textbook.

Chat GPT now uses the latest model GPT-4 Turbo, which includes the knowledge cut-off date of April 2023.

The old model of Chat GPT had a context window between 3,000 and 4,500 tokens.

The new update to Chat GPT is expected to significantly increase the context length.

Chat GPT claims its context window is approximately 8,000 tokens, equivalent to 3,000 to 4,000 words.

A secret code test is conducted to check the model's memory across a large number of tokens.

Chat GPT successfully remembers the secret code 'mango' even after processing over 10,000 tokens.

The context window of Chat GPT is tested to be over 22,000 tokens.

The input box's context length has also been upgraded to handle more than 10,000 tokens at once.

Chat GPT can now process entire articles or chapters of books in one input.

The model's ability to handle large context windows is a significant upgrade for developers and coders.

Chat GPT's enhanced context window allows for more complex tasks such as code analysis and app development.

The secret code test demonstrates the model's improved memory retention across extensive token counts.

The demonstration shows that Chat GPT can manage large amounts of text without losing context or specific information.

The upgraded Chat GPT model is expected to greatly benefit users with diverse and extensive text processing needs.

The test results indicate a significant enhancement in Chat GPT's capabilities for handling long-form content and complex interactions.

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