Post by account_disabled on Mar 6, 2024 7:01:22 GMT
Months of turmoil that any consultant dealing with web marketing is experiencing, especially after the launch (and evolution) of generative AI tools such as ChatGPT. In reality, then, ChatGPT has only started a trend which, in addition to spreading, is evolving in real time; trend which affects numerous sectors and which encompasses a complex ecosystem not only online, but also offline. We remember that ChatGPT was wanted, among others, by Microsoft and, only a few days after the announcement of the integration of ChatGPT in the search results of Bing (Microsoft's search engine), Google also announced an evolution of that which will be its search engine (in reality, already being tested by American beta testers): SGE , or Search Generative Experience. Google's SGE is an experimental search engine feature that uses generative artificial intelligence to provide more complete and informative search results. Essentially, when you perform a search, SGE can generate an answer that includes a summary of the topic, generated by drawing on more than one source, relevant facts, and links to additional resources.
The size of the SGE response box can have different dimensions depending Venezuela Phone Number on the response to the query, but can, in some cases, also occupy an entire SERP screen. img-semblog How the Google SGE box is presented: text with follow up and carousel of links to sources on the right How does Google's SGE work? When Google's Generative Search comes into play, what it does is try to understand the intent of our search query. Then Google's AI uses a variety of sources, including Google search results, the knowledge graph, and social media to generate a relevant response for the user. The response is customized to the query and can include text, images, videos and other multimedia content. The time required to produce the response can also vary depending on how many "elements" will make up the response. From the tests carried out so far, sometimes the response generation appears to be rather slow, almost making you want to do without it and it must be said that, if the timing does not improve in the future, the user could be annoyed and decide to disable SGE, considering that sometimes a featured snippet is almost more immediate and explanatory than the SGE box.
However, be careful not to confuse SGE with Google Bard , because they are two different things. Bard is a large language model (LLM) that is also trained on a huge dataset of text and code. The difference is that Bard is primarily designed to generate text, translate languages, write different types of creative content, and answer questions informatively. SGE, in contrast, is specifically designed to provide more comprehensive and informative search results. Wanting to take things to the extreme, these are the main differences between SGE and Bard: SGE is designed for generative search , while Bard is designed for natural language understanding. This means that SGE is better at understanding the intent of search queries and generating relevant responses to those queries. SGE uses a variety of sources to generate its responses, while Bard relies primarily on text. This means that the generative engine can provide more complete and informative answers, as it can access a wider range of information. SGE is still in development, while Bard is more mature (as of July 2023, Bard is available in 180 countries).
The size of the SGE response box can have different dimensions depending Venezuela Phone Number on the response to the query, but can, in some cases, also occupy an entire SERP screen. img-semblog How the Google SGE box is presented: text with follow up and carousel of links to sources on the right How does Google's SGE work? When Google's Generative Search comes into play, what it does is try to understand the intent of our search query. Then Google's AI uses a variety of sources, including Google search results, the knowledge graph, and social media to generate a relevant response for the user. The response is customized to the query and can include text, images, videos and other multimedia content. The time required to produce the response can also vary depending on how many "elements" will make up the response. From the tests carried out so far, sometimes the response generation appears to be rather slow, almost making you want to do without it and it must be said that, if the timing does not improve in the future, the user could be annoyed and decide to disable SGE, considering that sometimes a featured snippet is almost more immediate and explanatory than the SGE box.
However, be careful not to confuse SGE with Google Bard , because they are two different things. Bard is a large language model (LLM) that is also trained on a huge dataset of text and code. The difference is that Bard is primarily designed to generate text, translate languages, write different types of creative content, and answer questions informatively. SGE, in contrast, is specifically designed to provide more comprehensive and informative search results. Wanting to take things to the extreme, these are the main differences between SGE and Bard: SGE is designed for generative search , while Bard is designed for natural language understanding. This means that SGE is better at understanding the intent of search queries and generating relevant responses to those queries. SGE uses a variety of sources to generate its responses, while Bard relies primarily on text. This means that the generative engine can provide more complete and informative answers, as it can access a wider range of information. SGE is still in development, while Bard is more mature (as of July 2023, Bard is available in 180 countries).