Today, July 12, 2023, Google officially announced 𝗚𝗲𝗺𝗶𝗻𝗶: its largest and most powerful AI model with claims of being able to perform better than both GPT-4 and surpass expert humans.
Originally built as Multimodal, AI can understand and operate with a variety of data including text, images, audio, video and encoding, and achieve top performance. first in many tasks.
Here are 5 things you need to know about this AI:
1️⃣ Gemini comes in three plans: Ultra, Pro and Nano – and can run on any device (including mobile) to any data center
2️⃣ Bard will now use Gemini Pro, which helps it understand and summarize, reason, brainstorm , write and plan better
3️⃣ From December 13, developers can access Gemini Pro through the Gemini API at Google AI Studio: a free AI tool for developers on the web
4️⃣ Model This will also be built into many other Google products and services such as Search, Ads, Chrome and Duet AI.
5️⃣ Rated the most comprehensive and safest AI of any Google AI model to date, including bias, toxicity, and other potential risks
Gemini even surpasses GPT-4 in a total of 30/32 tests:
Source: Emollick
Starting from a revolutionary project, Gemini, a Generative AI aims to eclipse OpenAI’s ChatGPT in text processing capabilities.
Starting from a revolutionary project, Gemini, a Generative AI aims to eclipse OpenAI’s ChatGPT in text processing capabilities.
Google recently announced its new AI project called Gemini, with the goal of surpassing the capabilities of OpenAI’s ChatGPT. This bold statement has attracted the attention of many people, as ChatGPT’s performance is astonishing.
Let’s explore the groundbreaking capabilities of Gemini , compared to ChatGPT, and learn how Google Deepmind is building this revolutionary AI model.
Gemini specializes in text processing for superior quality compared to ChatGPT, but can also understand and produce many different types of data, including text, images, audio, and video .
Gemini, short for Generative Enhanced Multimodal Intelligent Network Interface, was introduced at the Google I/O conference as a major step forward in the field of AI. This is an AI system capable of understanding and generating many different types of data, including text, images, audio, and video .
While ChatGPT is famous for its versatility in creating multimedia content, Gemini takes a different approach. It specializes in text processing, which Google considers the Holy Grail of AI. Text is filled with information and knowledge, and nearly everything we do online involves text in some way, from searching, reading, communicating, and giving feedback.
Google aims to develop Gemini AI to lead the field of text processing. It’s capable of producing high-quality text for any purpose or field, whether it’s a blog post title, a speech, a humorous social media post, or a full-blown novel plot. attractive and impressive.
Gemini revolutionizes AI text interaction by actively collaborating and communicating with humans or other systems.
Gemini goes beyond just creating and processing text. It can understand and interpret text from others, becoming a co-collaborator and communicator. It can interact with humans or other systems, offering help, whether you want to chat, seek advice or learn something new.
Gemini is not just another language model, but a revolution in AI text interaction. Furthermore, Gemini is being developed by the Google deepmind team , who have been behind pioneering AI projects.
Google deepmind has achieved notable success such as the development of AlphaGo, an AI that defeated the world champion in the game Go, something that was previously thought to be impossible with AI due to its complexity and requirements. intuitive and strategic abilities of the game.
Google’s Deepmind applied AlphaGo’s problem-solving techniques to language processing during the development of Gemini.
To understand Gemini’s unique approach and how it differs from ChatGPT, we need to look at Google Deepmind. Founded in 2010 by Denise Hassabis, a former accomplished chess player, neural network researcher, and game designer, Deepmind aims to create AI systems that can learn and achieve or even surpass human intelligence levels.
Deepmind’s biggest success is AlphaGo, which uses reinforcement learning to adjust its strategy based on feedback from the millions of games it has played. Building on this success, Hassabis wants to develop an AI system capable of understanding and generating natural language. This led to the birth of Gemini, an AI model that applies AlphaGo’s problem-solving techniques to language processing .
Gemini has the ability to process multiple types of data and flexibly use information from various sources to enhance capabilities through reinforcement learning.
Gemini is a general-purpose AI model that focuses primarily on text processing but can also process other types of data such as images, audio, and video. It learns from its experiences and leverages information from different sources to enhance its capabilities. For example, it can create image captions by combining image details with text data from the web.
It can answer questions using text from the web and audio from podcasts or videos. When writing a poem, Gemini combines text from the web and emotional cues from music or art.
It uses feedback to improve its performance, learn from mistakes, and reinforce successful behaviors. With reinforcement learning, Gemini becomes more independent and adaptive in processing text, and becomes creative and communicative in producing and understanding text.
Gemini has huge potential and has the potential to revolutionize artificial intelligence, a field predicted to be worth more than $80 billion by 2030.
Gemini’s potential is huge, as it could revolutionize AI, a field predicted to be worth more than $80 billion by 2030. AI creates new content such as text, images, sounds , videos and more .
Can have a wide range of applications, including creating artificial data to train AI models, improving existing data, creating new content such as music or stories, designing products or services , and simulate complex situations such as weather or economics.
Gemini could become one of the most powerful AI content generation tools to date, allowing users to produce high-quality text.
Gemini outperforms ChatGPT in terms of interoperability and decision making with clear, concrete evidence.
Although Gemini has a lot of potential and is considered the leading chatbot today. ChatGPT, powered by OpenAI is an advanced AI language model that has been updated multiple times since its launch in 2022. The latest version, ChatGPT4, can generate diverse content based on usage requirements data from the internet.
It can answer questions, write essays and compose music, demonstrating the ability to converse like a real person. However, ChatGPT also has its own disadvantages. It fails to provide clear evidence for answers , creates new content, and has difficulty having deeper conversations or learning from past experiences.
Gemini aims to overcome the limitations of ChatGPT by giving specific reasons for decisions, creating more diverse content and deeper engagement.
Gemini aims to overcome these limitations. It is built to be more trustworthy, clear, creative and engaging. By leveraging established experience, Gemini provides specific reasons for its decisions, creates more diverse content, and facilitates deeper communication.
However, ChatGPT also has its own advantages, including flexibility in creating diverse content and performing many tasks, public accessibility and widespread testing and adoption. Gemini is not designed to replace ChatGPT but to provide another option, serving users with specific needs and preferences.
Google has invested heavily in Gemini research and development and perfected the principles of responsible artificial intelligence development.
Google is an important company in the AI field, investing heavily in research and development. The company has launched notable products such as Google Assistant and Google Translate. However, Google has encountered challenges on its path to AI development, including the controversial launch of Bard AI in 2022.
Bard generated inappropriate responses and was forced to close shortly after launch. Google has also faced ethical issues including privacy violations and employee conflicts.
Despite these obstacles, Google has learned from its mistakes and improved its AI by introducing new principles for responsible AI development. With Gemini, Google prepares for the next phase of its AI journey, although the specific impact of this AI model remains uncertain.
Gemini represents a breakthrough in the field of AI, especially in text processing and content creation. Its potential is expected to exceed the capabilities of ChatGPT. Developed by Google deepmind, Gemini combines the expertise and creativity of a team of remarkable achievements.
In conclusion, while Gemini and ChatGPT have their own advantages and disadvantages, both contribute to the ongoing advancement of the AI landscape. The world can expect great advances as AI continues to develop. The future of word processing and many other fields is being shaped by these AI systems.
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