Gemini – Google’s Answer to GPT-4
Google Gemini is Google’s latest (and best) AI language model that can offer robust capabilities that rival those of OpenAI GPT-4. However, with all the recent releases of chatbots and artificial intelligence systems, understanding what Gemini is and how it can be used can be a little difficult.
What is Google Gemini?
The simple answer here is that Gemini is Google’s answer to GPT-4, the large language model (LLM) that powers ChatGPT Plus and Microsoft Copilot. It’s the most advanced and capable model the search giant has created to date, and it plans to use it in a variety of ways.
Who can use Gemini?
Anyone can use Gemini, however you won’t use it like ChatGPT. As I noted above, Gemini is the language model that Google’s AI chatbot will run on, similar to how GPT manages everything behind the scenes in ChatGPT. Therefore, you will not be able to go to Google’s website and start communicating with Gemini. Instead, you will need to use one of three different versions to create an application that uses Gemini’s capabilities. Alternatively, you can just wait for someone else to do it, or use Bard, Google’s chatbot, to see what Gemini has to offer after the update.
Gemini has three levels
Google designed Gemini 1.0 to offer three different sizes or tiers. These sizes are designed to help the model get the most out of its capabilities for complex tasks, everyday tasks, and on-device tasks.
Gemini Ultra is the largest and most capable version of Google Gemini and will be used to handle the most complex tasks that Gemini can handle. It will likely be one of the major versions of Bard Advanced and other AI chatbots that use Gemini to perform extensive and complex tasks, and it will offer the best next-gen performance of the three.
Gemini Pro is what Google considers the “best model for scale,” and the company says it will be able to handle a wide range of tasks while delivering state-of-the-art performance. This is the middle plan that is likely to be most widely used and is currently available to try out in Bard .
The Gemini Nano is the smallest and most efficient version of the model, and Google says it was designed to work with devices as small as smartphones. The company is already planning to use Gemini Nano in the Pixel 8 and Pixel 8 Pro smartphones, where it hopes to allow artificial intelligence to enhance the use of our devices in the future.
How is Gemini different from GPT-4?
As I noted above, Google wants Gemini to be the answer to OpenAI’s GPT-4. According to some statistics that Google shared in its official announcement, the new model really competes well with GPT-4V (GPT-4 with Vision) and other models. Google claims that Gemini can achieve 59.4% on the MMMU (College-level Multidisciplinary Reasoning Tasks) test, while GPT-4V achieves 56.8%.
The differences between the two aren’t mind-boggling by any means, but Gemini’s performance should hopefully push OpenAI to make GPT-4 even better. This kind of competition is extremely beneficial to consumers because it ensures that both models continue to improve, trying to keep up with and outperform each other.
Google claims that Gemini has been trained to recognize and understand text, audio, images and more simultaneously. This more complex reasoning should allow the model to handle whatever you throw at it, although time will tell how well it performs in real-world applications.
Are Gemini accurate?
Like any artificial intelligence language model, Gemini will be susceptible to hallucinations and generating incorrect information. While the company hasn’t shared any details about how accurate Gemini is, it will always be important to double-check any information the model returns to you before publishing it anywhere. However, these AI systems will undoubtedly become more accurate over time, although the risk of hallucinations will likely always be there.
When can I grow with Gemini?
If you’re interested in developing with Gemini, Google says it will make Gemini Pro and the Gemini API available to developers starting December 13th. Gemini Ultra is still planned “coming soon” as Google says it is operating on a basis of broad trust. and security checks at this time. Currently, Google has not yet provided any pricing information for the Gemini. Google also hasn’t said what character or context restrictions Gemini will work with, although I expect that information to emerge once users have public access to the model. We know that the character limit on ChatGPT is around 4000 characters (based on community research), so it’s likely we’ll see a similar approach with Gemini.