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- Is GPT-4o a marketing strategy by OpenAI?
Is GPT-4o a marketing strategy by OpenAI?
Complete Analysis, Elo Metrics and Use Cases of GPT-4o
Himanshu Ramchandani
May 15, 2024 • Estimated Reading Time: 7 minutes
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Is GPT-4o a marketing strategy by OpenAI?
Overview
Performance Metrics - What is the Elo rating Measure?
Evaluation by OpenAI - Text, Audio, and Other Evaluation
Today’s Sponsor
Quality vs Pricing
Key Pointers
GPT-4o Use Cases
Marketing Strategy or Not
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Overview
OpenAI launched GPT-4o (Omni).
The model's fundamental architecture has a substantial change.
About parameters, size, training duration, etc., they particularly aimed to improve GPT-4 performance when creating this new model.
Here is the official video on the OpenAI Channel.
Let’s understand different factors and the other side of the coin.
Performance Metrics
Here is the comparison of different models and their Elo scores →
Elo rating for different LLMs
What is Elo rating Measure?
physicist Arpad Elo invented the Elo rating.
Elo ratings, derived from chess strategy, have been applied to measuring the capabilities of LLMs.
To assess a model's proficiency, this system evaluates its accuracy in responding.
Evaluation by OpenAI
Text Evaluation
Evaluation scores of known datasets MMLU - OpenAI blog
As you can see in the above image the state-of-the-art performance of GPT-4o, is promising as the new model is fast as well as cheaper.
Audio Evaluation
Audio Translation performance - OpenAI blog
You can check other performances on the OpenAI blog
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Quality vs Pricing
GPT-4o vs others - artificialanalysisAI
Quality → Index represents normalized average relative performance across Chatbot arena, MMLU & MT-Bench.
Price → Price per token, represented as USD per million Tokens. Price is a blend of Input & Output token prices (3:1 ratio).
Key Pointers
In the research paper, the human response time across languages-208ms
Recognizing and identifying various speakers in an audio recording
Targeted alteration of input photos in a Photoshop-like manner
Much superior to GPT-4 Turbo in languages other than English
Significantly better text rendering on created images and fonts
Capacity to communicate human feelings and vocal abilities
Benchmarks for MMLU/HumanEval have slightly improved
50% less expensive and twice as quick as GPT-4 Turbo
Capability of audio recording human emotions
3D modeling and image creation
Summarization of the lecture
GPT-4o Use Cases
Energy → Power plant energy predictive maintenance
As demonstrated in the video, GPT-4o can process visual and sensor data from power plant equipment in real time.
It can notify staff to take preventive action, minimizing downtime and guaranteeing a continuous power supply.
Healthcare → Surgery With Assistance
AI augmentation is better, we don’t want AI-powered, we want AI-assisted.
It can improve accuracy and safety by superimposing important data into the surgical field, making recommendations for subsequent actions, and highlighting important locations.
Finance → Automated Monitoring
To guarantee conformity to financial regulations, it can identify possible infractions, track policy compliance, and offer prompt advice.
Marketing Strategy or Not
They are making it free for everyone, it sounds like they want to scale the user base from 100 million to a billion.
When any product is free, then you are the product.
This strategy is used by many companies to increase user count.
They focus less on the dataset volume and more on performance, user experience, and increasing the user base.
When open-source models aren't yet accessible, you can utilize GPT-4o.
To increase GPT-4o's expertise or save money, you can use your custom models for later steps in your application.
This implies that model capabilities won't prevent you from rapidly initiating the prototyping of intricate workflows for a wide range of use cases.
Accisible to everyone that’s their goal this time.
Also, don’t forget that ultimately they are running a business, so be aware of AI hype of half-working solutions VS Reality
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