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Artificial Intelligence or the ‘ AI ‘ as the buzz word is, has been an impactful shift the world has experienced in recent years. This shift if even more profound than the shift to mobile or to the web. AI is prolifering at a rapid pace and has created a huge impact in everyday to the extra-ordinary - for people everywhere. It is bringing out the creativity, productivity, and learning on a scale that we haven’t seen before. Knowingly or unknowingly, we are getting impacted by the AI in our day to day lives.
Generative AI has simplified the way content is getting produced. Early in December 2023, Google Deepmind came up with it’s revolutionary stride in the AI world by launching Gemini AI - A natively multimodal model, meaning it will learn from the data beyond text, getting insights from audio, video, and images. It is now available to the users across the world through Bard.
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How Gemini AI is different from the other multimodal AIs?
Traditionally, multimodal models are created by stitching together text-only, vison-only, audio-only in a sub-optimally way at a secondary stage. Geimini AI is the multimodal from the ground up, so that it can seamlessly have a conversation over modalities and give you the best possible response.
Gemini is Google’s most largest and most capable model which means that it can understand the world around us the way we do and can absorb any type of input and output, not just text but also audio, video, image, and code. Gemini has been said to be best performing on various parameters and standards when tested and compared to one of the leading generative AI ChatGPT. A brief comparison of the results is showcased below.
Capability
Benchmark
Description
Gemini Ultra
GPT-4
General
MMLU
Representation of questions in 57 subjects (incl. STEM, humanities, and others)
90.0%**
CoT@32*
86.4%
5-shot**
(reported)
Reasoning
Big-Bench Hard
Diverse set of challenging tasks requiring multi-step reasoning
**83.6%**
3-shot
83.1%
3-shot (API)
DROP
Reading Comprehension (F1 Score)
**82.4%**
Variable shots
80.9%
3-shot (reported)
HellaSwag
Commonsense reasoning for everyday tasks
**87.8%**
10-shot*
**95.3%**
10-shot* (reported)
Math
GSM8K
Basic arithmetic manipulations (incl. Grade School math problems)
**94.4%**
maj1@32
92.0%
5-shot CoT (reported)
MATH
Challenging math problems (incl. algebra, geometry, pre-calculus, and others)
**53.2%**
4-shot
52.9%
4-shot (API)
Code
HumanEval
Python code generation
**74.4%**
0-shot (IT)*
67.0%
0-shot* (reported)
Natural2Code
Python code generation. New held out dataset HumanEval-like, not leaked on the web
**74.9%**
0-shot
73.9%
0-shot (API)
Capabilities of Gemini
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Traditional multimodal models, as mentioned above were created stitching the separate components together to roughly mimic the functionalities. These models were good at certain tasks like describing images but, struggled more with conceptual and complex reasoning.
Gemini is developed by Google with a native multimodal approach, being initially pre-trained on various modalities. Subsequently, it underwent fine-tuning using additional multimodal data to enhance its effectiveness. This process enables Gemini to comprehensively comprehend and analyze diverse inputs right from the group-up, surpassing the performance of existing multimodal models. Its capabilities are considered state-of-the-art across nearly every domain.
Refined Reasoning
Gemini 1.0 possesses advanced multimodal reasoning capabilities that excel in deciphering written and visual information. This distinctive proficiency enables it to show insights that might be challenging to recognize within extensive datasets. The capacity to extract meaningful information from hundreds of thousands of documents, achieved through reading, filtering, and comprehension, positions Gemini 1.0 to facilitate groundbreaking discoveries at digital speeds across various fields.
Text, Images, Audio, and More
Gemini 1.0 is like a super-smart student. It learned to understand not just words but also pictures, sounds, and more all at the same time. This way, it's really good at getting the full picture and answering tricky questions about difficult stuff. It shines especially bright when it comes to explaining things in subjects like math and physics.
Advance Coding
The first version of Gemini, can understand, explain, and create top-notch code in popular languages like Python, Java, C++, and Go. Because it's awesome at handling different languages and figuring out tricky stuff, it's one of the best models for coding worldwide. Gemini can even power super-smart coding systems like AlphaCode 2, which is fantastic at tackling tough programming challenges that involve not just coding but also tricky math and theoretical computer science.
Gemini in different sizes:
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Gemini 1.0 has been optimised to be available in three different sizes:
- Gemini Ultra:** Largest and most capable model suited for the highly complex tasks.
- **Gemini Pro: **Best model for scalling for wide range tasks. It is now available via the Gemini API to developers in Google AI Studio.
- **Gemini Nano:** Efficient model for on-device tasks.
See Gemini in action. This video will be good enough to intrigue you to now Gemini more.
Conclusion
The advent of Artificial Intelligence, particularly the recent milestone represented by Google's Gemini AI, marks a transformative shift in our technological landscape. Gemini AI stands out in the space of generative AI, notably for its native multimodal approach. Unlike traditional multimodal models stitched together at a secondary stage, Gemini is designed from the ground up, seamlessly integrating text, vision, audio, and more. The comparison between Gemini and other leading generative AI models, such as ChatGPT, showcases Gemini's superior performance across various parameters and standards, validating its status as a state-of-the-art model. It is now upto the developers across the world on how to leverage on the Gemini AI and create wonderful creations. Connect with a top custom app development company in order to learn more about how generative AI can be used in your applications to facilitate your customers.