In the realm of AI supremacy, OpenAI’s towering language models have enjoyed an early lead, fueled by their timely introduction and the substantial computational infrastructure of Microsoft. However, the era of ChatGPT’s dominance appears destined for evolution, with new and potent AI contenders surfacing on a monthly basis. Among these contenders, one emerges as a promising adversary: Google.
Per insights from The Information, Google is poised to unveil its next-gen AI models, nestled within the forthcoming Gemini initiative, as early as this coming fall. Google’s ambitions for Gemini are underscored by its intent to bolster existing AI chatbot Bard, while also enhancing the capabilities of enterprise tools like Google Docs and Slides.
What lends Gemini its formidable stance is Google’s expansive resource reservoir, especially the wealth of data at its disposal for training these AI models. With access to a trove of YouTube videos, Google Books, an expansive search index, and scholarly content via Google Scholar, the company boasts exclusive data sets that might offer an edge in crafting more astute models than its peers. Notably, Gemini is touted as the pioneering multi-modal model, adept at handling video, text, and images—unlike GPT-4.
Amplifying its prowess, Google boasts a deep well of talent and a legacy of experience in constructing and honing substantial language models. The debut of these new models, projected for the next autumn, is anticipated to usher in a new chapter, potentially introducing a Gemini-powered chatbot or elevating the existing Bard. Such developments could reverberate profoundly in Google’s Cloud domain, which is likely to serve as the chief conduit for corporate clientele seeking access to Gemini’s capabilities.
The unveiling of Gemini received a sneak peek during Google’s recent developer conference, where an array of AI projects was showcased. Drawing from innovative training techniques utilized by Alphago—an AI system that famously triumphed over a human Go player—Gemini’s potential to strategize and surmount intricate problems is distinctly highlighted.
