image showing laptop with google gemini on the screen

Google Gemini: Will It Beat ChatGPT?

Google’s DeepMind division (Brain Team + DeepMind) is building a next-generation AI infrastructure called Google Gemini. The team is leveraging the AlphaGo system to make Gemini the largest language model ever created. 

So, will the it rival existing AI systems like OpenAI’s ChatGPT, and possibly beat them? 

This week at Pugu Digital, I’ve put together the latest information about Google Gemini, including its main differences from Google Bard.

Highlights Summary

  • Google DeepMind division is building Gemini, a multimodal LLM to compete with other AI models
  • Gemini will have various sizes and capabilities 
  • Gemini can use tools and APIs
  • Google Gemini AI release date is December 2023

Announcements From Google

Google’s CEO Sundar Pichai introduced Gemini during their I/O developer conference in May 2023. He hinted that Gemini is developed from the ground up to be a large language model (LLM). From Pichai’s and other Google staff announcements, we can conclude that: 

Google Gemini AI Will Be Multimodal

Pichai confirmed that Gemini is built using the AlphaGo system and large language modeling capabilities. AlphaGo system is famous for beating Lee Sedol at Go, a strategy board game, in 2016. 

Combining AlphaGo and LLM gives Gemini an upper hand in processing multiple data types. The AI model can integrate text and images, taking conversational abilities to a new spectrum. 

Gemini Can Use Tools and APIs

Google Gemini AI is designed to integrate with tools and APIs. Jeffrey Dean, Google’s Chief Scientist, updated his professional bio saying, “Gemini is a next-generation multimodal model I’m co-leading.”

Jeffrey noted that Gemini will leverage Pathways (Google’s latest AI infrastructure) to scale up different data set interpretations. This could make Gemini the largest language model in history with over 175 billion parameters. 

Gemini AI Will Have Problem-Solving Capacity

Google’s DeepMind division is working round the clock to give Gemini memory and planning capabilities.  The team is using Monte Carlo tree search (MCTS), the technology that powered AlphaGo, to build Gemini AI. The long-term goal is to make Gemini AI a master in planning and solving problems.   

The team is also using reinforcement learning to power Gemini. This way, Gemini can learn to perform tasks several times while receiving feedback. Every feedback input could improve the model. 

Gemini Will Be Available in Various Sizes and Capabilities 

In June 2023, DeepMind CEO Demis Hassabis hinted that Gemini will come with various sizes and capabilities. Speaking to Wired, Hassabis said the model will leverage reinforcement learning and tree search to reason and solve problems. He confirmed that Gemini will be available in different sizes, to address different consumer needs. 

Additionally, he stated that Gemini may utilize memory, fact-checking, and improved reinforcement learning. This hints that the model will give more accurate information.

Early Version of Gemini AI

In an interview with Time, Hassabis stated that Gemini was showing positive results from its early versions. He said that the model may use retrieval methods to enhance data output accuracy. This means Gemini could generate fewer inaccurate answers, reducing hallucinations–a common AI problem. 

Hassabis added that Gemini’s goal is to combine scale and innovation. The model builds on Flamingo, an image captioning system, to expand its multimodal capabilities.  

Google Gemini vs. Bard, ChatGPT, and OpenAI

Google Gemini AI has taken the AI battle to another level. In a close Google Gemini vs. Bard, ChatGPT, and OpenAI debate, here’s how the models compare: 

  • Gemini AI is powered by AlphaGo and is set to focus on integrating text and images to generate visual content.
  • Google Bard is built on PaLM 2, an AI model that powers various Google features. Bard is a good choice for understanding context and offering conversational responses. 
  • OpenAI developed ChapGPT based on multi-language models. ChatGPT focuses on generating text-based responses. 

In short, these AI models play a significant role in how we interact with technology. ChapGPT simplifies creative writing tasks while Bard provides seamless chat-like text responses. Google Gemini will help us generate high-quality visual content.  

Countdown to Google Gemini

Curious to know the Google Gemini AI release date? If it lives up to its expectations, Google will release Gemini in December 2023. 

Gemini release may lead to more exciting AI projects in the future. But for now, we hold our horses and watch the battle for AI supremacy between Gemini and ChatGPT. 

Gemini: The End of ChatGPT Dominance?

Once completed, Google Gemini will become the largest language model in history. Featuring reasoning and problem-solving capabilities, Gemini could outshine ChatGPT. 

Another interesting feature is its multimodal capability. It can process text, image, and video, giving it an edge over ChatGPT. 

Overall, announcements from the Google team indicate that Gemini is focused on scale and innovation. The model is being designed from the ground up to provide more accurate responses. Stay tuned here at our page for more updates on Google Gemini.