Advantages of Google's AI Generative Search

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Simply put, generative AI refers to algorithms or models that can create content, including text, images, audio, and even code.

Let's see how it works.

Generative AI systems are powered by large language models (LLMs), which are trained on large amounts of data. For example, an LLM called GPT-4 powers Bing and ChatGPT.

Similarly, Google uses an LLM known as Pathways Language Model 2 (PaLM 2).

It's the same technology that Google uses in its other products that have adopted generative AI, such as Gmail's "Help me write" feature.

Google's generative AI search uses a variety of AI-based technologies, including natural language processing, machine learning, and deep learning.

These technologies allow the search engine to understand the user's query, process the relevant content and formulate an appropriate response.

Let's say a user searches for "best chocolate chip cookie recipe."

Google SGE uses these technologies to ultimately show you bosnia and herzegovina phone number database three chocolate chip cookie recipes. It briefly summarizes each of them.

Google SGE results for "best chocolate chip cookie recipe"
SGE also asks you to get answers to possible follow-up questions, such as "What is the secret to a perfect cookie?"

To use the tracking feature, click on one of Google's suggestions:

"What is the secret to a perfect cookie?" Google's suggestion highlighted
This way you will get additional information on the topic you are researching.

Here, Google rounds up the best tips from around the web on how to bake the perfect cookies.

Top Tips for "What's the Secret to a Perfect Cookie?"
You also have the option to write your own follow-up question in the "Follow up" box.

Let's say you want to know how to make healthier chocolate chip cookies. Google will present you with some ideas, allowing you to get quick and easy answers to all your related questions.