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Google recently unveiled its most advanced artificial intelligence system yet, called Gemini AI. With multiple models tailored for different applications, Gemini AI aims to push the boundaries of what AI can achieve. The top model, Gemini Ultra, even outperforms the popular ChatGPT chatbot on several benchmarks. But is Gemini really better than ChatGPT? Here’s an in-depth look at how the two AI systems compare.
An overview of ChatGPT and Gemini AI
What is ChatGPT?
Created by research agency OpenAI, ChatGPT (Generative Pretrained Transformer) is an AI chatbot that can engage in conversational dialogue. Using natural language processing, it can understand questions and requests and generate human responses.
The free version that most people use uses an underlying AI model called GPT-3.5. More advanced versions, such as the recently announced one GPT-4build on the capabilities of GPT-3.5.
What is Google’s Gemini AI
Twin is Google’s new family of AI models focused on natural language and multimodal understanding: the ability to process and connect text, images, audio, video and other data input.
It comes in three main versions tailored to different needs:
- Twin Ultra: The largest and most advanced Gemini model. Still in development, but aims to be transformative for AI.
- Gemini Pro: Aimed at helping users understand and respond to textual requests. Already integrated into Google’s Bard chatbot.
- Twin Nano: A smaller model optimized to run efficiently on smartphones and other consumer devices.
Benchmark Results: How Gemini Compares to ChatGPT
| Category | ChatGPT | Twin AI |
|---|---|---|
| Accessibility | Now available for free public use | Still in development, limited availability |
| Underlying model | GPT-3.5 (scaled up to GPT-4) | Multiple models – Ultra, Pro, Nano |
| Language proficiency | Advanced natural language processing | Industry leading NLP mastery |
| Multimodal concept | Word processing focused | Combines text, images, video, speech, etc |
| Performance benchmarks | Strong results on many tests | Top scores in 90% of benchmark ratings |
| Mathematical ability | 92% accuracy on the elementary school math dataset | 94.4% accuracy in primary school math |
| Code generation | 67% accuracy in Python code generation | 74.4% accuracy in Python code generation |
| Training dates | Hundreds of billions of online text parameters | Potentially orders of magnitude more proprietary Google data |
| Cost | Free tier available, premium tier of $20/month | TBD – likely similar Google Cloud AI pricing models |
| User experience | Very natural conversations | Early positive reviews indicate a very friendly atmosphere |
Google claims that Gemini Ultra beats GPT-4, OpenAI’s most advanced AI model to date, in 30 out of 32 academic benchmarks. That includes categories such as reasoning, math and coding.
Let’s break down some key test results in different performance areas:
General language comprehension
In tests of general language proficiency covering various topics, Twin Ultra achieved a leading score of 90% accuracy. This beat the GPT-4’s 86.4% result in comparable 5-shot tests.
Reasoning ability
When assessed on complex, multi-step reasoning in areas such as science and common sense, Twin Ultra scored 83.6%. This was barely surpassed GPT-4s score of 83.1%.
Reading comprehension
About assessments of reading comprehension using the DROP benchmark, Twin Ultra managed one 82.4 F1 score compared to GPT-4’s 80.9.
Mathematical ability
In math, Gemini Ultra dominated in basic arithmetic, while GPT-4 was roughly tied in solving more advanced problems. For example, it has been resolved 94.4% of simple math questions correct versus 92% of GPT-4.
Code generation
When generating Python code from natural language descriptions, Twin Ultra reaches 74.4% accuracy without sample code. GPT-4 was left with a capacity of 67%.
Additional modalities
Gemini models are uniquely designed to handle multiple data types such as images, video, voice and more. Gemini also achieves state-of-the-art results on almost all benchmarks for image, video and speech recognition.
Availability: is Gemini or ChatGPT more accessible?
For now, ChatGPT is much more accessible for everyday users. The chatbot is available through the OpenAI website and through various third-party apps and services. Basic access is free, with a $20 monthly subscription for more advanced features.
Unlike, Twin continues to be developed. Google plans future integration with consumer products such as Search and the Bard chatbot. But most models are not yet publicly available after limited testing.
So ChatGPT provides an easy way for anyone to start experimenting with conversational AI today. But Gemini offers enormous potential as more advanced capabilities are rolled out.
Also read: Is Gemini AI available to the public?
User experience: chat tools compared
Based on the first previews, both chat tools aim to provide an engaging user experience that focuses on natural language conversations.
ChatGPT impresses with very human dialogues. It allows open discussions on different topics and requests. The chatbot asks clarifying questions when in doubt and is adept at contextual follow-up.
Early reviews suggest Twin also offers intelligent, conversational responses. As it continues to be developed and integrated into Google’s products, you can expect a focus on seamless assistive experiences, similar to the company’s digital assistant solutions.
Data and knowledge: what is behind the AI?
These AI systems are only as smart as their underlying data and machine learning approaches. Here’s a quick look at what drives them behind the scenes:
ChatGPT Foundation
GPT chatbot models are trained on huge datasets of publicly available web content, such as articles, forums and more. For example, GPT-3.5 uses hundreds of billions of text parameters, while GPT-4 has 1.3 trillion.
The models continuously refine their language skills through a self-supervised training technique called reinforcement learning from human feedback. This allows GPT to identify more accurate, relevant and helpful answers.
The brains behind Gemini AI
While less is publicly known about Gemini’s inner workings, Google engineers claim training has been given in it “orders of magnitude” more data than competitors. This includes public web data and Google’s own corpora that include text, visual media, code, and more.
Gemini models are also designed to continuously learn from new input and feedback. This allows their capabilities to scale quickly over time, rather than being fixed during training.
Cost comparison: who offers more value?
Since Gemini has yet to be released for public use, there is no set price or revenue model behind it yet. However, as a Google product for business and consumer markets, this will likely include:
ChatGPT’s prices
Basic access to ChatGPT is for limited use cases free. The bounty ChatGPT Plus subscription $20 per month for superior responses and additional features. Bulk prices for companies are handled on a tailor-made basis.
Revenue comes from the paid tiers, along with OpenAI and Microsoft partnerships that leverage the technology. The goal is to monetize ChatGPT while keeping it affordable and accessible.
Expected costs for Gemini AI
Google will probably integrate Basic Twin features in free services like Search, Maps, Gmail and more as a form of added value for users. Robust applications that require a lot of processing power or integration support come at a cost.
Prices may resemble Google Cloud AI products, where usage-based costs are determined by traffic volumes, compute time, and capabilities utilized. Some services may also require annual licensing fees or revenue sharing.
also read: Google launches Gemini 1.0
Conclusion: Should you choose ChatGPT or Gemini?
For now, ChatGPT provides the easiest way to explore how conversational AI can improve and automate tasks. Its public accessibility, simple user experience and free access tier make it extremely attractive.
However, Twin AI brings extraordinary capabilities with its multimodal control of text, images, speech and more. As it becomes further integrated into Google’s vast ecosystem in the future, you can expect Gemini to enable more seamless, advanced, and helpful AI interactions than ever before.
So while ChatGPT seems unbeatable today, Gemini may soon reshape what users can achieve by combining AI with Google’s versatile cloud services and ubiquity in everyday digital experiences. This one-two punch could be transformative and power next-generation AI support.
The race between these two AI wonders is on as researchers continue to push boundaries. For now, average users can use the friendly ChatGPT bot to get a taste of our intriguing AI future. But expect to hear a lot more about the groundbreaking capabilities of Google’s Gemini in the coming months and years. The best of AI is yet to come.