Google Gemini AI Vs ChatGPT: Google has released the new Gemini AI multimodal tool, which works with text, audio, images, code etc. all together. The two most powerful generative AI tools are compared here.
Gemini AI Vs ChatGPT: In this world of Artificial Intelligence (AI), two big giants are Google on one side and OpenAI on the other side. Google has made many changes regarding AI this year in which Google has launched many AI tools including Bard, although it was earlier working on Google Gemini AI and finally Google has released the new AI tool Gemini. Now this question arises in the minds of many people that who is better in Gemini AI Vs ChatGPT? Here is the comparison.
Google’s new AI tool Gemini is a multimodal tool that can handle more tasks. While releasing its new ‘multimodal’ AI model Gemini, Google released a video in which how Gemini AI works is explained. Gemini AI that can handle text, audio, images, code etc. all things together and ChatGPT can’t.
Google Gemini AI and ChatGPT are both large language models (LLMs) that have attracted significant attention in the field of artificial intelligence. First of all OpenAI releases ChatGPT which is used all over the world to make all their work easier. After ChatGPT Google releases its Bard AI, along with this Google releases its new AI Gemini Model.
Gemini AI Vs ChatGPT: Who is better?
Gemini, a larger language model (LLM), aims to have the ability to process text, images, and video simultaneously, where ChatGPT cannot do all the work at once. Gemini AI includes three different versions, each tailored to specific needs.
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Gemini Ultra, the largest and most powerful, outperforms human experts in Massive Multitask Language Understanding (MMLU). Gemini also comes in three versions namely Gemini Ultra, Gemini Pro and Gemini Nano. Talking about the three versions of Gemini, it caters to diverse applications. Google plans to license Gemini to customers through Google Cloud. Using Google Cloud allows them to integrate the model into their applications.
If Gemini AI Model is added with Google Bard, then ChatGPT will need a bigger language model which is in discussion these days for GPT 6 and GPT 7. The upcoming release, “Bard Advanced”, may see a significant upgrade to the chatbot using Gemini Ultra.
Gemini AI, which is said to be superior to humans in many aspects, is said to be ahead of us in maths, law, language understanding. For now, the company has released the Nano version of Gemini AI for Google Pixel 8 Pro users. Google Pixel users can use new tools in Gboard and Recorder App.
Comparison between Gemini Ultra and GPT-4V: Which is the better version for Gemini AI Vs ChatGPT
General Understanding (MMLU):
Gemini Ultra: Achieves 90.0% in Massive Multitask Language Understanding (MMLU) which demonstrates your ability to understand 57 subjects including STEM, humanities, and more.
GPT-4V: Reports 86.4% 5-shot efficiency in the same benchmark.
Strengths Abilities:
Strengths of Gemini: The ability to achieve superior performance, efficiency and a wide reach of what it can do together.
Strengths of ChatGPT: Large and active user base, and include strong creative writing and quick responding.
Weaknesses:
Weaknesses of Gemini: You’ll get limited access to features and a potentially less user-friendly interface.
Weaknesses of ChatGPT: Lower performance compared to Gemini, higher computational cost, and possibility of bias due to training data.
Reasoning Abilities:
Gemini Ultra: Scored 83.6% in big-bench hard benchmarks, demonstrating proficiency at diverse, multi-step logic tasks.
GPT-4V: Sees comparable performance in the same context with 83.1% 3-shot efficiency.
Reading Comprehension (DROP):
Gemini Ultra: Excels in the DROP reading comprehension benchmark with an 82.4 F1 score.
GPT-4V: Achieves 80.9 3-shot capability in the same scenario.
Commonsense Reasoning (HellaSwag):
Gemini Ultra: Impresses with 87.8% 10-shot efficiency in Hellasvag benchmarks.
Commonsense Reasoning (HellaSwag):
Gemini Ultra: Also demonstrates efficient common sense reasoning with 87.8% 10-shot efficiency in the Hellasvagn benchmark.
GPT-4V: Shows a slightly higher 95.3% 10-shot efficiency in the same benchmark.
Mathematical Proficiency (GSM8K):
Gemini Ultra: Maintains 92.0% 5-shot efficiency on grade school math problems.
Challenging Math Problems (MATH):
Gemini Ultra: Solves complex math problems with 53.2% 4-shot efficiency while demonstrating versatility.
GPT-4V: Maintains a competitive 52.9% 4-shot efficiency in the same context.
Code Generation (HumanEval):
Gemini Ultra: Has the ability to generate Python code efficiently with a commendable 74.4% 0-shot efficiency (IT).
GPT-4V: Performs well with 67.0% 0-shot efficiency.
Natural Language to Code (Natural2Code):
Gemini Ultra: Demonstrates the ability to generate Python code with 74.9% 0-shot efficiency.
GPT-4V: Maintains 73.9% 0-shot efficiency in the same benchmark.
In Google Gemini AI Vs ChatGPT comparison, both are playing a big role in shaping the future of AI. Gemini currently promises better performance and efficiency, although there is also a new GPT model set to be released in 2024. Gemini AI can be used through integration with Google Bard and Google Pixel 8.