Proprietary Data gives Google’s Gemini an edge over ChatGPT - Praxis
Proprietary Data gives Google’s Gemini an edge over ChatGPT

Proprietary Data gives Google’s Gemini an edge over ChatGPT

With multimodal capabilities, Gemini can understand and generate information from multiple data sources, including text, images, audio, and video

In the ever-evolving world of artificial intelligence, two tech titans are gearing up for what may be the most significant showdown in the history of generative AI. Google and OpenAI, two of the most prominent organisations in the AI research space, are locked in a fierce competition to dominate the generative AI market, projected to be worth a staggering $1.3 trillion by 2032.

Google has provided a select group of companies with early access to its upcoming conversational artificial intelligence software called Gemini. This move suggests that Google is nearing the integration of Gemini into its consumer services and plans to sell it to businesses through its cloud unit. Gemini is designed to rival OpenAI’s GPT-4 model, which has already started generating significant revenue for the startup by providing services to financial institutions and other businesses.

The Contenders

On one side, we have OpenAI’s ChatGPT, a model based on the GPT-4 architecture. With over 100 million monthly active users, ChatGPT has already begun to generate significant revenue, providing services to financial institutions and other businesses. Its dominance in the generative AI space is undeniable.

Enter Google’s Gemini. This new AI software, currently in its final stages of launch, is designed to challenge ChatGPT’s supremacy. With multimodal capabilities, Gemini can understand and generate information from multiple data sources, including text, images, audio, and video. This ability gives it a distinct edge over GPT-4, which is primarily text-based.

The Secret Weapon: Proprietary Data

Perhaps the most significant advantage Gemini holds is Google’s vast array of proprietary training data. With access to data from services like Google Search, YouTube, Google Books, and Google Scholar, Gemini has the potential to offer insights and inferences unparalleled by any other AI model. Early reports suggest that Gemini is trained on twice as many tokens as GPT-4, which could be a game-changer.

The Teams Behind the Tech

The recent merger of Google’s Brain and DeepMind AI labs to form Google DeepMind has further intensified the competition. This consolidation brings together some of the brightest minds in AI research, including Google co-founder Sergey Brin and DeepMind senior AI scientist Paul Barham. Their combined expertise, especially in techniques like reinforcement learning and tree search, could propel Gemini to new heights.

Forecasting the Winner

While it’s too early to declare a definitive winner in this generative AI arms race, several factors could influence the outcome:

  • Training Data: Google’s access to proprietary data might give Gemini an edge in producing more sophisticated and relevant outputs.
  • Multimodal Capabilities: Gemini’s ability to process multiple types of data could make it more versatile and appealing to a broader range of industries.
  • Reinforcement Learning: DeepMind’s expertise in reinforcement learning, which played a crucial role in AlphaGo’s success, could be a game-changer for Gemini.
  • Market Strategy:OpenAI’s early success with ChatGPT, especially its adoption by financial institutions, means that Google will need a strong market strategy to persuade businesses to switch.

ChatGPT Enterprise

Meanwhile, late last month OpenAI launched ChatGPT Enterprise, which offers enterprise-grade security and privacy, unlimited higher-speed GPT-4 access, longer context windows for processing longer inputs, advanced data analysis capabilities, customisation options, and much more.

Early users of ChatGPT Enterprise – industry leaders like Block, Canva, Carlyle, The Estée Lauder Companies, PwC, and Zapier–are redefining how they operate and are using ChatGPT to craft clearer communications, accelerate coding tasks, rapidly explore answers to complex business questions, assist with creative work, and much more.

The Race Heats Up

With multimodal capabilities and potential access to Google’s extensive proprietary training data from various services, Gemini aims to challenge ChatGPT’s dominance in the generative AI space. This move underscores Google’s commitment to AI innovation and competition in the rapidly growing generative AI market. Multimodal AI models are advanced AI systems capable of understanding and generating information from multiple data modalities or sources, such as text, images, audio, and video.

The generative AI arms race between Google and OpenAI is set to be one of the most exciting technological battles of the decade. Both companies have their strengths, and the global community will be watching closely to see who emerges as the leader in this transformative field.

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