What is the size of GPT-4?

GPT-4 is expected to be 10 times larger than GPT-3, with approximately 1.8 trillion parameters.

How many layers does GPT-4 have?

GPT-4 has 128 layers, each representing different features of the input data, allowing it to perform complex tasks.

How does GPT-4 handle different tasks?

GPT-4 uses a mixture of 16 experts, each specializing in different tasks such as coding and formatting.

What is the cost of training GPT-4?

The estimated training cost for GPT-4 is around 63 million dollars, using 25,000 Nvidia A100 GPUs.

What are the potential implications of GPT-4 for Google, Microsoft, and the open source community?

The leaked information about GPT-4 could impact Google, Microsoft, and the open source community, potentially affecting OpenAI's lead and advantage if shared with the open source community.

GPT-4 Leak: Unveiling All Details

Name: GPT-4 Leak: Unveiling All Details
Uploaded: 2023-07-12 14:43:00
Description: GPT-4, an advanced language model with 1.8 trillion parameters, has been released with exciting potential for vision capabilities, but it may face challenges and legal issues while also potentially impacting Google, Microsoft, and the open source community.

This article is a summary of a YouTube video "GPT-4 leaked! 🔥 All details exposed 🔥 It is over..." by Wes Roth

TLDR GPT-4, an advanced language model with 1.8 trillion parameters, has been released with exciting potential for vision capabilities, but it may face challenges and legal issues while also potentially impacting Google, Microsoft, and the open source community.

Key insights

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GPT-4 is rumored to be 10 times the size of GPT-3, making it approximately 1.8 trillion parameters.
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The layers in GPT-4's model represent different features of the input data, starting from recognizing edges and colors to later recognizing faces and objects, showcasing its ability to understand and analyze visual information.
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The concept of Moe mixture of experts allows GPT-4 to function as a collection of different models, each focusing on a specific area, potentially leading to more accurate and diverse outputs.
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GPT-4 has been trained on a massive amount of data, processing 13 trillion tokens, which indicates its potential for generating high-quality text.
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The training cost for GPT-4 would be approximately 63 million dollars, using 25,000 Nvidia GPUs and running for 90 to 100 days.
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OpenAI likely chose a smaller number of experts for GPT-4 to be more cost-effective, even though research suggests that using 64 to 128 experts achieves better loss than 16 experts.
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Whisper, a feature of GPT-4, can transcribe audio, allowing for better understanding and analysis of podcasts and videos.
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The controversy surrounding training AI models on copyrighted artwork and movies raises questions about the future of artistic professions and the impact of AI-generated art.

Q&A

What is the size of GPT-4?

— GPT-4 is expected to be 10 times larger than GPT-3, with approximately 1.8 trillion parameters.
How many layers does GPT-4 have?

— GPT-4 has 128 layers, each representing different features of the input data, allowing it to perform complex tasks.
How does GPT-4 handle different tasks?

— GPT-4 uses a mixture of 16 experts, each specializing in different tasks such as coding and formatting.
What is the cost of training GPT-4?

— The estimated training cost for GPT-4 is around 63 million dollars, using 25,000 Nvidia A100 GPUs.
What are the potential implications of GPT-4 for Google, Microsoft, and the open source community?

— The leaked information about GPT-4 could impact Google, Microsoft, and the open source community, potentially affecting OpenAI's lead and advantage if shared with the open source community.

Timestamped Summary

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00:00
GPT-4 details leaked, potentially impacting Google, Microsoft, and open source community; it's 10x larger than GPT-3 with 1.8 trillion parameters.
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02:49
GPT-4 is an advanced language model with 128 layers and a mixture of 16 experts, using Google's Moe AI system to effectively scale up and potentially surpass its predecessor, Flan Palm, by utilizing multi-level perceptrons and 55 billion shared parameters for attention.
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07:19
GPT-4 is a highly efficient and fast AI model trained on massive amounts of data, including text and code, resulting in a 32k c-clen version.
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09:31
GPT-4's batch size increased to 16 million, costing around $63 million to train with 25,000 Nvidia A100 GPUs, making large language models more affordable and accessible for small businesses.
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12:12
GPT-4's development faced failures and low efficiency, but it may be financially feasible soon; it works with GPT 3.5 turbo for various tasks, and a vision component was anticipated.
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15:01
GPT-4 has been released with exciting potential for vision capabilities, aiming to create autonomous agents that can transcribe images, videos, and websites, while also having image recognition software and the ability to read text and transcribe audio.
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17:42
GPT-4 is a faster and smarter model that, when combined with GPT-3.5, can produce good results with less resources, but it may not handle complex tasks as well and could potentially face legal trouble due to its reliance on speculative decoding and training from textbooks.
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20:53
The video discusses the implications of GPT-4 for Google, Microsoft, and the open source community, including the possibility of an open source version being released later this year, while also mentioning the speaker's upcoming course on using this technology without coding experience.