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Overview of GPT-4 Capabilities and Features
Apr 9, 2025
Notes on GPT-4 Presentation
Introduction to GPT-4
Arrival of GPT-4
: Claims to surpass ChatGPT.
Capabilities
: Can convert drawings into functional websites and explain jokes from images.
OpenAI's Live Stream
: Introduced this multimodal AI with demonstrations.
Key Features of GPT-4
Multimodal Abilities
Unlike previous versions (text-based), GPT-4 can process both images and text.
Examples of Image Processing
:
Explains jokes from a sequence of images (e.g., iPhone with VGA cable).
Can convert a napkin drawing of a website into functional code (HTML, CSS, JavaScript).
Performance and Integration
Speed and Efficiency
: Can produce a functional website in 10-20 seconds.
Real-world Applications
: Already integrated into companies like Khan Academy.
Educational Assistance
: Functions as a personal tutor with customization.
Statistical Performance
GPT-4 outperforms previous models (GPT-3, GPT-3.5) in various evaluations:
Passed the LSAT and Bar exams in the top quarter percentile.
Previous models were in the lower quarter.
Handles over 25,000 words of text, allowing for more complex tasks.
Creative and Reasoning Enhancements
Creativity
: Better at modifying and iterating technical and writing tasks.
Example Task
: Summarizing Cinderella with each sentence beginning with the next letter of the alphabet (A-Z).
Advanced Reasoning
: Better capable of scheduling appointments based on different calendars.
Safety and Accuracy Improvements
Error Reduction
: 82% less likely to generate disallowed content; 40% less likely to produce factually inaccurate responses.
Access to GPT-4
Available through ChatGPT Plus (paid version).
API access requires joining a waitlist.
Differences in Model Performance
:
GPT-3.5: Average reasoning, low conciseness, high speed.
GPT-4: High reasoning, high conciseness, slightly lower speed due to limitations.
Conclusion and Personal Experience
User Feedback
: GPT-4 showed improved comprehension, reasoning, and understanding over GPT-3.
Attempted to trick GPT-4 with false math but it consistently gave correct answers.
Awaiting API access for further business applications and comparisons with GPT-3.5.
Anticipation about the future of GPT-3.5 with the introduction of GPT-4.
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Full transcript