Google Gemini AI: The New Player in AI
Google’s response to ChatGPT is none other than Google Gemini AI. This lineup of large language models (LLMs) takes inspiration from AlphaGo’s techniques. With its multimodal abilities and potential access to Google’s vast training data, Gemini is set to give ChatGPT a run for its money in the world of generative AI.
This strategic move by Google showcases its dedication to pushing the boundaries of AI. Innovation and staying competitive in the ever-expanding generative AI market. Analysts predict this market to hit a staggering $1.3 trillion by 2032. Google is all in, aiming to be a major player in this lucrative field.
The arrival of ChatGPT in November 2023 sent shockwaves through Google. The widely loved chatbot posed a significant threat to the company’s business, prompting a code-red response. Google kicked off serious efforts to catch up in the generative AI race.
This initiative not only led to the introduction of Google Bard but also gave birth to Google Gemini. Launched on Wednesday, December 6, 2023, we’re on a journey to see how these developments unfold. There’s a real possibility that Google could snatch the popular AI crown away from ChatGPT in the coming months.
What is Google Gemini?
Google’s Gemini isn’t just any language model—it’s a powerful tool that learns from AlphaGo’s strategies, using techniques like reinforcement learning and tree search. This could potentially make it the top dog in the world of generative AI, giving ChatGPT a run for its money.
This development follows Google’s smart move of merging its Brain and DeepMind AI labs to form a fresh research team called Google DeepMind. Not to mention, the introduction of Bard and the advanced PaLM 2 LLM.
Experts predict that the generative AI market will hit a whopping $1.3 trillion by 2032. Clearly, Google is going full throttle, investing heavily in this space to ensure it stays at the forefront of AI innovation.
Google Gemini vs. ChatGPT
A hot topic surrounding Gemini’s release is its potential to dethrone ChatGPT, a platform that has amassed over 100 million monthly active users this year.
Initially, Google highlighted Gemini’s text and image generation as a key differentiator from GPT-4. However, a game-changer occurred on September 25, 2023, when OpenAI announced that ChatGPT would now accept voice and image queries.
With OpenAI venturing into a multimodal model approach and connecting ChatGPT to the Internet, the main battleground seems to be Google’s treasure trove of proprietary training data. Gemini can process data from various services, such as Google Search, YouTube, Google Books, and Google Scholar.
The use of this exclusive data in training Gemini models might give it a significant advantage in drawing sophisticated insights and inferences from datasets. Especially if early reports suggesting Gemini is trained on twice as many tokens as GPT-4 hold true.
Furthermore, the collaboration between Google DeepMind and Brain teams in the current year is a force to be reckoned with. This partnership pits OpenAI directly against a powerhouse team of world-class AI researchers, including Google co-founder Sergey Brin and DeepMind’s senior AI scientist and machine learning expert