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Google Gemini AI Will Challenge ChatGPT-4 from Open AI and Bing AI

 
     
  By Spacelab  
  News about the Google Gemini release date, how it can help you as a creator, and how the Google Gemini vs ChatGPT battle is good for all of us. Here's what's coming.  
   
 

Google Gemini is leveling up its challenge ChatGPT for in the way it generates and understands natural language. The battle will be Google Gemini vs ChatGPT, and it looks like more good days for AI are in store for us, as things are just getting started. The Google Gemini release date is not confirmed yet, but looks like it will be before the end of the year. More below.


The Gemini AI is a generalized multi modal intelligence network. Those are big tech words that mean it’s a powerful AI system that works with different types of data and tasks. Google Gemini can handle input from images, audio video, 3-D models and more.


What does that mean for us as content creators? Much improved brainstorming and content strategy, arguably the two most important parts of creating content. It can really improve everything we do, not by doing it for us, but by giving a million ideas and ways of implementing them, the most time consuming part of content creation. It can even help with your marketing efforts.


Think of it this way: you have some photos and videos, and some ideas around what to do with them. Now we can plug all of these into Google Gemini and seriously up our game in how we go about creating the posts and reels and image carousels we want to use.


If you want to create a video with an AI based person reading your script, you can do that. The same if you just want an audio voiceover. You can create AI models wearing or using your products.


These are only a few of the ways we can use them. Read on for more ideas.

 

 

 

 

 

 

Google Gemini Release Date

The Google Gemini release date appears to be sometime in December, leaving time for some fine tuning before the new year. 2024 looks like it will be a good year for Google Gemini. It’s possible that it could be released as early as October.


Right now, Google is giving developers access to a relatively large version of Gemini, and we’ll all get access further down the line. Developers always get it first for two main reasons: this lets them develop powerful tools using the API. Secondly, it’s critical early beta testing before the public release.

 

 

Google Gemini VS ChatGPT

Since Google released its Bard AI tool in a rush to compete with ChatGPT in the news cycle, it came up short in terms of comparison. ChatGPT could just do more and do it better.


Gemini is the full on AI platform from Google though, the one that's meant to make a formidable challenge in the Google Gemini vs ChatGPT battle.


Gemini will also improve the chatbot known as Google Assistant if you use that, which also means searching on Google by using your voice.  


“Part of the reason we built the conversational LLM LaMDA was that we realized we needed to improve the underlying technology of Google Assistant. AI will make Google Assistant fundamentally better.” Said CEO Sundar Pichai in an interview with Wired.


There are others to compete with too, like the Meta AI Chatbot that includes the Futurama character Bender. Dall-E 3 and ChatGPT are another.

 

 

 

     
  Google Gemini will use different types of AI and merge them into one larger tool that handles multiple tasks at the same time. They’re all integrated into one master tool.  
     

 

 

 



Why Google Gemini Matters

It can handle any type of data and task without needing specialized models or any sort of fine tuning. So instead of running your input through different forms of AI to reach your end result (ChatGPT, then Dall-E separately). 


Google Gemini will use different types of AI and merge them into one larger tool that handles multiple tasks at the same time. They’re all integrated into one master tool.

 

 


Google AI

Gemini AI is more efficient than other AI models. It needs less computational resources than other AI models in order to deal with multiple modes separately. That means it’s faster.


To do this, Gemini uses a distributed training strategy, meaning it makes the most out of multiple devices and servers to speed up its learning process. That means Gemini can scale up to larger data sets and models without sacrificing performance or quality.


For Gemini, Google has said that it comes in four sizes: gecko, otter, bison, and unicorn. 


So what will you do with Google Gemini as a content creator?

 

 

 

 

 
   
 
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