The Google I/O 2023 event, saw Google finally showcasing
how it’s going to integrate Generative AI with Google Search. Now, the
search giant has officially started the rollout of its Search Generative
Experience to Search Lab program subscribers. Check out the details
below.
Anmol from our team who signed up for the Search Labs program
recently gained access to SGE. Let’s have a look. One of the key
capabilities of SGE is to answer long and multi-step questions. Now
whenever you type your query in the search bar, in place of the usual 10
blue links, you will see an AI-generated “snapshot”
and other key insights regarding your query. The data will be extracted
from multiple sources and will then be summarized by Google. The summary
will appear beneath the search bar and will be differentiated via a
color background. Google is also leveraging Large Language Models like
Pathways Language Model 2 (PaLM2) and Multitask Unified Model (MUM).
As you can notice in the image above, Google is quick to note that “Generative AI is experimental. Info quality may vary.” Also, notice how Google is avoiding a first-person response and taking a neutral stance with its response.
Another cool feature is SGE’s capability to expand and
corroborate information. We put in a query about the basics he should
keep in mind before purchasing a laptop. Now SGE gave a bunch of
articles that contain the search query. However, we wanted a summarized
version of his query. By clicking on the “expand button” located in the top right corner, we got the same.
Satisfied with SGEs response, we went up looking for laptops under $1,000 and used SGEs conversational capability. At the bottom of the previous response, was a “Ask a follow-up”
option, with several suggested follow-up questions. Via using that
option we were able to gain a summary of what to look for in a laptop
that’s under $1,000.
Now, you will notice that SGE did not only list out a summary but
also gave a bunch of different laptop options to choose from. This is
where Google is effectively leveraging its Shopping Graph.
Based on the query. the options will appear. For example, if you are
looking for a laptop that has a 512GB SSD with 16GB of RAM and a touch
display all under $1,000, SGE will compile the list of recommended
devices based on the specific search query. The results will also
contain sponsored products.
Additionally, SGE can also help write codes and gain insights on specific queries by harnessing the Code Tips capability
of Google’s LLMs. Using this feature, you can ask questions related to
programming languages like C, C++, JavaScript, Kotlin, Python, and more.
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