Google DeepMind has announced the Gemini Large Language model to compete with OpenAI’s advanced language model, GPT-4. Here’s what you need to know to sign in and start using Google Gemini, along with everything about Google’s Gemini model.
When will Google Gemini be released?
Google has not yet made the Gemini model publicly available, but it is expected to be released soon in beta.
At the Google I/O Developer Conference in May 2023, Google’s CEO, Sundar Pichai, announced the artificial intelligence system the company is developing, known as Gemini.
Google Gemini Login Page
The Gemini model, developed by Google’s DeepMind team, is currently only accessible through early access by some companies. Since it’s not available to the public, there is no login page announced at the moment.
However, as soon as it’s released, we will provide you with information on how to log in and use the Gemini model. For now, you can access other language models similar to Gemini using the following link.
How to use Gemini?
Although information about the Gemini model is limited at this time, we can draw parallels between it and OpenAI’s GPT-4 model. GPT-4 was accessible through APIs for integration, and OpenAI also allowed the use of the GPT-4 model through tools like ChatGPT.
Therefore, it is reasonable to assume that the upcoming Gemini model will be accessible both via APIs and through Google Bard for usage.
Google Gemini is Multimodal
As the name suggests, Large Language Models are primarily text-based. They take text as input and provide text as output. However, as announced in OpenAI’s GPT-4 model, multimodal models can also accept images as input alongside text.
Google’s Gemini possesses multimodal capabilities. You can send image inputs to the Gemini model to perform image analysis.
Also read: GPT-4 Image Input, how to use it?
The initial findings from Gemini show great potential
In a September 2023 interview with Time Magazine, Demis Hassabis, the CEO and founder of Google DeepMind, mentioned that the Gemini model uses retrieval methods to output entire blocks of information, rather than word-by-word generation. This approach aims to enhance factual consistency.
During the same interview, Hassabis expressed that Gemini has shown very promising early results.
It is believed that Google’s extensive datasets and high-quality computational resources will contribute significantly to the model’s development.
What is the difference between Google Bard and Gemini?
If we compare Google Bard to ChatGPT, we can liken Gemini to the GPT-4 model.
Google Bard is a chatbot that relies on a language model in the background, which could be Gemini or another language model.
However, the primary feature of chatbots like Google Bard is their ability to engage in interactive conversations with humans.
Gemini is, on the other hand, the model that empowers this capability. You can use Gemini to empower Google Bard, or you can integrate it into your APIs in various applications.