Beyond Bard: The Power of Google Gemini

November 11, 2024

When Google introduced its artificial intelligence chatbot Bard nearly two years ago, no one could predict where it would lead. Today, as an evolution of Bard technology, the enhanced Google Gemini was launched earlier this year with even greater advancements.

Google Gemini Evolution

Gemini AI is a multimodal large language model. The use of AI in this field began back in 2013 at the research level, with a neural conversation model introduced in 2015, aimed more at analysis and understanding. This model demonstrated how AI could predict missing parts of a sentence. In 2017, the Transformer deep learning architecture was introduced.

Six years later, the release of Google Bard was seen as an AI experiment that garnered significant attention. Today, it has evolved into Google Gemini, a universal AI-powered tool designed to help users find solutions in various fields.

Google Bard featured key functions such as web browsing, content generation, and summarizing long texts. Gemini AI not only represents a change in name but also signifies a more advanced starting point. It is a suite of LLMs that can be integrated into various Google functions. The more advanced technology provides more insightful analysis, reducing the risk of AI hallucinations, and integrates audio, images, and videos.

These capabilities are enabled by generative AI, which was previously used for understanding or recommending information but now contributes to creating new content in various formats.

The Impact of Google Gemini on the Market

Google itself claims that Gemini is not just a simple AI model, but it creates a unified ecosystem where Google Gemini serves as a tool for large streams of users, creators, and companies.

The market debut of the enhanced Google Gemini raised many questions and concerns regarding the future of search engine operations and changes in SEO strategies. It was believed that it would affect human-generated content and search results, such as content ranking and optimization, with a focus on concentrated answers and suggestions presented immediately at the top of search results. However, the reality turned out to be quite different, and the mass changes that were predicted did not occur.

Human-generated content remains incredibly important and significant and will likely continue to be so for a long time due to its creative capabilities, understanding of cultural contexts, and adaptability in content, as well as its ability to delve into and comprehend specific contexts, reducing the likelihood of errors.

Nevertheless, AI-based models still influence the market, creating some shifts and maintaining their share. The search process itself for users can now be faster, more engaging, and dynamic. For example, in the travel industry, this technology can generate high-quality responses by analysing multiple aspects in real time—not just user reviews and popularity indicators, but also evaluating the tone and emotions conveyed in texts about those places, and thus planning a trip based on the user’s needs.

Additionally, Google Gemini brings expanded multimodal search capabilities, allowing for searches using images. For instance, using the Google Recipe Finder tool, AI can generate a recipe and its preparation steps from a photo of ingredients.

Final Word

Google is making a significant breakthrough and transformation in the entire search engine system. It is shaping the nuances of SEO optimization and the necessity to adapt certain strategies to ensure human-generated content remains visible. Even though Google Gemini opens up faster, more efficient search results possibilities, human-generated content remains crucial and relevant.

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Sources: Arival, Gemini Apps Help, Google, Google AI for Developers, Search Engine Journal, Undetectable