Atlanta, GA | September 18, 2023 – Google has responded to ChatGPT with the introduction of Google Gemini, a suite of powerful language models that meld GPT-4 with techniques inspired by AlphaGo. This strategic move is aimed at challenging ChatGPT’s dominance in the generative AI landscape. With its multimodal capabilities and potential access to Google’s vast proprietary training data from various services, Gemini is poised to disrupt the generative AI field. Google’s commitment to AI innovation and competition is evident, particularly in a generative AI market projected to reach an astounding $1.3 trillion by 2032.
The launch of ChatGPT in November sent shockwaves through Google, prompting the company to take decisive action to catch up in the generative AI race. This effort led to the development of Google Bard and, notably, Gemini.
What Is Google Gemini?
Source: AI Revolution
Gemini represents a fusion of GPT-4 and AlphaGo-inspired training techniques, including reinforcement learning and tree search. These innovations have the potential to surpass ChatGPT as the leading generative AI solution globally.
This development follows Google’s consolidation of its Brain and DeepMind AI labs into the new research team, Google DeepMind, and the introduction of Bard and the next-gen PaLM 2 LLM. Google is clearly making substantial investments in AI to maintain its leadership position in this rapidly evolving field, particularly with market projections reaching $1.3 trillion by 2032.
All We Know About Gemini So Far
While the release of Google Gemini is expected in the fall of 2023, detailed information about its capabilities remains limited. In a blog post from May, Sundar Pichai, Google, and Alphabet CEO, provided a high-level overview of the LLM. He explained that Gemini was designed to be multimodal, highly integrable with tools and APIs, and ready to support future innovations like memory and planning. Pichai also hinted at impressive multimodal capabilities.
However, official information on the release has been scarce. Google DeepMind CEO Demis Hassabis mentioned in an interview that Gemini would combine AlphaGo-like strengths with powerful language capabilities. Android Police reported that an anonymous source connected to the project claimed Gemini could generate text and contextual images and would be trained on sources like YouTube video transcripts.
Can Gemini Outshine ChatGPT?
A central question surrounding Gemini’s release is whether it can surpass ChatGPT, which has amassed over 100 million monthly active users this year.
At first glance, Gemini’s ability to generate text and images provides it with a significant advantage over GPT-4 in terms of content variety. However, the true differentiator might lie in Google’s vast repository of proprietary training data. Gemini can process data from various services, including Google Search, YouTube, Google Books, and Google Scholar. Utilizing this proprietary data in Gemini’s training could give it a distinct edge in generating sophisticated insights and inferences, especially if reports of it being trained on twice as many tokens as GPT-4 are accurate.
Moreover, the collaboration between Google DeepMind and Brain teams is a formidable factor. This partnership pits OpenAI against a team of world-class AI researchers, including Google co-founder Sergey Brin and DeepMind’s senior AI scientist and machine learning expert, Paul Barham. This experienced team has a profound understanding of applying techniques like reinforcement learning and tree search to create AI programs that can continually improve their problem-solving abilities, as demonstrated in AlphaGo’s victory over a Go world champion in 2016.
Google Gemini AI multimodal capabilities, reinforcement learning, text, and image generation, and access to Google’s proprietary data collectively position it to outperform GPT-4. Training data emerges as a pivotal differentiator, highlighting that the victor in the LLMs arms race will likely be determined by who trains their models on the most extensive and richest dataset.