Google Launches Gemini: Its Most Capable AI Model Yet For Bard - PowerPoint PPT Presentation

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Google Launches Gemini: Its Most Capable AI Model Yet For Bard

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Google, a pioneer in various technological breakthroughs, reveals the latest Gemini model for Bard. How will this change the Conversational AI dynamics? – PowerPoint PPT presentation

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Date added: 12 January 2024
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Title: Google Launches Gemini: Its Most Capable AI Model Yet For Bard


1
Google Launches Gemini Its Most Capable AI Model
Yet For Bard
Recently, Googles AI-chatbot Bard got its
highest upgrade with the Gemini AI model, and
users could not be happier. As researchers race
towards building an AI-powered world, the battle
to produce the best AI chatbot gets fiercer, and
the outcome of this hustle seems a win-win for
all. Bards initial AI models LaMDA (20212023)
and PaLM (May 2023), had limited interactive
capabilities, propelling Chat-GPT to be at the
frontier of AI-based chatbots. The launch of
Gemini and now Gemini Pro (Dec 2023), with
super-advanced attributes, has transformed AI
development and the industry dynamics. Researchers
suspect Gemini would be the biggest threat to
ChatGPT. Gemini would be available in 3 sizes
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Gemini Pro Designed to operate on a broad range
of tasks and is currently deployed across the
Bard platform. Gemini Ultra Curated to be more
complex and adept at solving complicated
tasks. Gemini Nano The most efficient prototype
for on-device tasks. While Gemini Pro has made
headlines since its release, Google has not
confirmed the release dates for ultra and nano.
The advanced Gemini Ultra came out with flying
colors with a score of 90.0 on a test called
MMLU (massive multitask language understanding)
in 57 subjects like physics, math, law, medicine,
history, and more to check its problem-solving
abilities and knowledge. For the first time in
history, an AI model displayed more expertise
than a subject matter expert in those benchmarks.
Moreover, the Gemini Pro model powers the
AlphaCode 2 AI system, predicted to be better
than the best human programmers. The engineers
at Google are confident they are creating some of
the cutting-edge foundational building blocks.
Enterprises and developers can later customize
this to suit complex business needs. Geminis
approach to multi-modality The Multi-modality
feature of Gemini implies its ability to operate
on multiple modes of inputs and generate various
modes of outputs listed below
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  • Text
  • Images
  • Code
  • Audio
  • Video
  • How does Geminis multi-modality model deliver
    results?
  • Multimodal models like Gemini are curated by
    combining text-only, vision-only, or audio-only
    models in a suboptimal way from the ground level
    up. This design empowers it to have conversations
    across various modalities and solve problems like
    humans.
  • Gemini integrates these to perform complex
    reasoning in subjects like Mathematics and
    Physics and outperforms its peer chatbots in
    problem-solving and reasoning skills. No other
    present-day chatbot has data input features like
    image or audio that Gemini Pro boasts of.
    Currently, Gemini Pro cannot generate an image or
    video-based output, but that prospect is not very
    far away, considering how Google engineers are
    passionately innovating the model.
  • Salient features of Gemini pro-powered Bard
  • Bard has undergone a radical transformation and
    displays features never seen before in its
    previous versions or counterparts. Some of

4
its salient features that have revolutionized
conversational AI capabilities are Incorporation
of image as an input With this feature, Gemini
Pro has the superpower to read infographics and
charts and arrive at analysis in three different
formats within seconds. Such derivatives could
take hours if done through human intervention.
Moreover, it can save the data as a Google sheet
for further edits and share it on public links
like Facebook, LinkedIn, Twitter, or Reddit. The
chatbot can conjure a meaningful story around
images you feed as input, as shown on Googles
official YouTube channel. Audio/Video/Code as an
input By incorporating Googles Speech-to-Text
API, Gemini Pro has the prowess to execute
real-time audio-to-text conversion. User
interactions would now feel more fluid rather
than mere robotic. It can dive into YouTube
videos and extract a list that gives you a gist
of a long video in a bullet-point
format. Extraction of relevance from a vast data
set Gemini-Pro can help extract insight or
relevance from multiple documents and help
research-paper writers simplify their jobs
robustly.
5
Integration with Google Workspace When swamped
with work, there is often no time to search for
an important email amidst a heap of emails. Bard,
in its latest avatar, has its users covered. You
can type simple prompts asking Bard to find out a
particular task/email, and it will direct you to
the relevant answer within seconds. Since this
is Googles own chatbot, Bard can access anything
stored on the Google- Workspace and derive
critical information from Gmail, docs, sheets, or
calendars. It can also help you get a gist of the
latest doc or sheet you created, optimizing your
time for other business activities. This
integration simplifies chunks of activities that
would have entailed hours of inspection and
effort. One Crucial aspect for consideration
What about safety protocols? Though technology
advances with the right intention, it is
susceptible to misuse and tampering. This
technology caters to a thriving database of
users, and because of its magnanimity, the
researchers felt the need to adopt fool-proof
safety protocols to safeguard the users
interests. The combination of text and image as
input can pose many safety-related threats or be
offensive, so Google has approached this
possibility responsibly. At Google DeepMind,
highly experienced professionals have implemented
effective protocols as armor against such
probabilities. By including classifiers and
filters at the backend and executing rigorous
tests
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against those policies, they have made Gemini a
safe and responsible model from the foundational
stage. Conclusion Enriched with remarkable
features, better-analyzing capabilities, and
robustness, this thriving AI model can seamlessly
demystify large-scale and complex information. No
other chatbot has features like audio/video
input, social media and Google Workspace
integration, and complex problem-solving
abilities like the Gemini Pro-powered Bard. The
collective goal of generative AI has always been
the same across developers To make the worlds
vital information easily accessible to one and
all. Currently, we can safely conclude that
Google, with this marvel, is at the forefront of
AI-based innovation and released the best
breakthroughs with limitless potency. If this
evokes healthy competition in other
technology-based enterprises and paves the way
for more advanced technological solutions, we
would be delighted to embrace that
outcome. AUTHOURS BIO With Ciente, business
leaders stay abreast of tech news and market
insights that help them level up now, Technology
spending is increasing, but so is buyers
remorse. We are here to change that. Founded on
truth, accuracy, and tech prowess, Ciente is your
go-to periodical for effective decision-making.
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Our comprehensive editorial coverage, market
analysis, and tech insights empower you to make
smarter decisions to fuel growth and innovation
across your enterprise. Let us help you navigate
the rapidly evolving world of technology and turn
it to your advantage.
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