What is Google's Gemini?
Google Gemini is a family of multimodal large language models (LLMs) developed by Google DeepMind. It is considered the successor to LaMDA and PaLM 2.
Lets see what Gemini can do:
Multimodal: Gemini can understand and process different types of information, including text, code, images, audio, and video. This allows it to perform tasks that are beyond the capabilities of traditional LLMs.
Powerful: Gemini is trained on a massive dataset of text and code, and it uses advanced algorithms to process information. This makes it one of the most powerful LLMs available today.
Versatile: Gemini can be used for a wide variety of tasks, including generating text, translating languages, writing different kinds of creative content, and answering your questions in an informative way.
Three variants: Google Gemini comes in three variants: Gemini Ultra, Gemini Pro, and Gemini Nano. Each variant has different capabilities and is designed for different use cases.
Some examples of what Google Gemini can do:
Generate different creative text formats of text content: poems, code, scripts, musical pieces, email, letters, etc.
Translate languages: Gemini can translate between many different languages, and it can even do real-time translation.
Answer your questions in an informative way: Gemini can access and process information from the real world through Google Search, which allows it to answer your questions in a comprehensive and informative way.
Write different kinds of creative content: Gemini can write different kinds of creative content, such as poems, code, scripts, musical pieces, etc.
Google Gemini is still under development, but it has the potential to revolutionize the way we interact with computers. It is likely to have a significant impact on a wide range of industries, including education, healthcare, and customer service.
On December 6, Google launched its next-generation AI model with the launch of project Gemini, an AI model trained to behave in human-like ways.
Gemini will be incorporated into Google’s AI-powered chatbot Bard and its Pixel 8 Pro smartphone.
With the implementation of Gimi in Bard, Google says Bard will perform much better at tasks that include planning. On the Pixel 8 Pro, Gemini will be able to quickly summarize recordings made on the device and provide automatic replies on messaging services, starting with WhatsApp, according to Google.
‘Bard Advanced’ in early 2024
Google Say's that Gemini’s biggest advances will not come until early 2024 when its Ultra model will be used to launch “Bard Advanced”.
The AI, at first, will only work in English throughout the world, although Google executives assured reporters during a briefing that the technology will have no problem eventually diversifying into other languages.
Based on a demonstration of Gemini for a group of reporters, Google’s “Bard Advanced” might be capable of unprecedented AI multitasking by simultaneously recognising and understanding presentations involving text, photos, and video.
Gemini will also eventually be infused into Google’s dominant search engine, although the timing of that transition has not been spelled out yet.
“This is a significant milestone in the development of AI, and the start of a new era for us at Google,” declared Demis Hassabis, CEO of Google DeepMind, the AI division behind Gemini. Google prevailed over other bidders, including Facebook parent Meta, to acquire London-based DeepMind nearly a decade ago, and since melded it with its “Brain” division to focus on Gemini’s development.
Gemini to take on OpenAI’s GPT-4
Backed by Microsoft’s financial muscle and computing power, OpenAI was already deep into developing its most advanced AI model, GPT-4, when it released the free ChatGPT tool late last year. That AI-fuelled chatbot rocketed to global fame, bringing buzz to the commercial promise of generative AI and pressuring Google to push out Bard in response.
Just as Bard was arriving on the scene, OpenAI released GPT-4 in March 2023 and has since been building in new capabilities aimed at consumers and business customers, including a feature unveiled in November that enables the chatbot to analyse images. It has been competing for business against other rival AI startups such as Anthropic and even its partner, Microsoft, which has exclusive rights to OpenAI’s technology in exchange for the billions of dollars that it has poured into the startup.
So what makes Gemini better than Chat-GPT:
1. Reasoning Capabilities:
Gemini boasts superior reasoning capabilities, allowing it to tackle complex questions with greater accuracy and depth. This is due to its use of a novel architecture that explicitly encodes causal relationships between concepts. This allows Gemini to avoid the "hallucinations" that have plagued other AI models, including Google's own Bard.
2. Factual Accuracy:
Gemini is trained on a dataset of text and code that is significantly larger and more diverse than the dataset used to train ChatGPT. This results in Gemini having a better understanding of the world and being less likely to generate factually incorrect information.
3. Performance:
Gemini is significantly faster and more efficient than ChatGPT. This is due to its use of Google's custom-designed TPUv5 chips, which are specifically designed for AI workloads.
4. Multimodal Capabilities:
Gemini is a multimodal AI model, meaning that it can process and understand information from a variety of sources, including text, images, and audio. This makes it well-suited for a wider range of tasks than ChatGPT, which is primarily a text-based model.
5. Transparency:
Google has been more transparent about the development and capabilities of Gemini than OpenAI has been about ChatGPT. This has made it easier for researchers and businesses to understand how Gemini works and how it can be used.
