LINGARAJ APPA ENGINEERING
COLLEGE
Technical Seminar on
Gemini AI
Presented By:
Shaik Abu Bakar
(3LA20CS029)
Dept.of CSE LAEC.BIDAR
Under The Guidence Of:
Asst.prof.Basavarajappa S
Gemini
Introduction Of Gemini AI
On December 6,2023 Google introduced its cutting-edge AI model, Gemini, representing a notable
advancement in the field of artificial intelligence. This innovative model has showcased its exceptional
capabilities by surpassing benchmarks set by the formidable GPT-4 in several evaluations. This
presentation explores Gemini's key features, applications, and its potential impact on the field of
artificial intelligence.
What I
sGoogle Gemini?
Gemini, Google's advanced AI model,
excels in text, image, video, and audio
processing. It'sa versatile multimodal
model proficient in complex tasks across
mathematics, physics, and more.
Additionally, it can generate high-quality
code in various programming languages.
Different Sizes, Different Capabilities
Google's Gemini AI model is not a one-size-fits-all solution; instead, it offers various versions tailored to
specific requirements. These include Gemini Ultra, Gemini Nano, and Gemini Pro.
Ultra Pro Nano
our largest and most capable
model for highly complex
tasks.
our best model for scaling
across a wide range of tasks.
our most efficient model for
on-device tasks.
Next-generation Capabilities
Gemini departs from the conventional multimodal model creation process by being inherently
multimodal from the start. Itundergoes pre-training across various modalities and isfine-tuned with
additional multimodal data for superior effectiveness. Thisdistinctive approach enables Gemini to
seamlessly understand and reason about diverse inputs, surpassing existing multimodal models with
state-of-the-art capabilities.
Sophisticated
reasoning
Understanding text,
images, audio and
more
Advanced coding
Features
Natural
Language
Processing
Gemini AI utilizes advanced
natural language processing
techniques to understand
and analyze text data.
Machine
Learning
Algorithms
Gemini AI leverages powerful
machine learning algorithms
to uncover patterns and
insights from data.
Real-time Data
Analysis
Gemini AI provides real-time
data analysis capabilities,
allowing users to make
informed decisions quickly.
The Potential Of Gemini
Excelling at competitive programming
Unlocking insights in scientific literature
Processing and understanding raw audio
signal end-to-end
Explaining reasoning in math and physics
Reasoning about user intent to generate
bespoke experiences
Most Capable AI Model
86.4%
5-shot* (reported)
Previous SOTA (GPT-4)
Gemini Ultra
90.0%
CoT@32*
89.8%
Human expert (MMLU)
Gemini isthe first model to
outperform human experts on
MMLU (Massive Multitask
Language Understanding), one
of the most popular methods to
test the knowledge and problem
solving abilities of AI models.
Implementation Process
Integration Data Mapping Training Customization
Testing and Validation
Deployment and
Go-Live
Ongoing Support
Responsibility And Safety
Google's Gemini AI boasts immense
power, but its creators prioritize
responsibility. Rigorous testing and
ethical guidelines aim to mitigate
bias, toxicity, and misuse, ensuring a
safe and beneficial future for this
multi-talented AI.
Impact On The AI Industry
Gemini, Google's most powerful AI model, surpasses benchmarks set by GPT-4, influencing applications
like the Bard chatbot and Pixel 8 Pro. It is a pioneering multi-modal large language model designed for
natural and "human-like" interactions, blurring the lines between man and machine.
Vs
State -of- the –Art Performance
Gemini
Surpasses benchmarks
Outperforms current best results on 30 of 32
tasks, including text-to-code, question
answering, and image captioning.
Masters multimodal
Handles text, code, images, and audio
seamlessly, even beating humans on a new
reasoning benchmark.
Reasoning powerhouse
Tackles complex, multi-step problems that require
combining knowledge and logic.
Scalable and adaptable
Available in three sizes to fit different needs, from
mobile devices to data centers.
Conclusion
Google's Gemini AI is a game-changer in artificial intelligence, with multimodal capabilities,
collaborative development, and varied sizing options. Its expanding reach and integration
into Google services are poised to reshape user experiences and the AI industry.
Gemini
THANK YOU

ABUBAKAR GIMNI.pptx.....................

  • 1.
    LINGARAJ APPA ENGINEERING COLLEGE TechnicalSeminar on Gemini AI Presented By: Shaik Abu Bakar (3LA20CS029) Dept.of CSE LAEC.BIDAR Under The Guidence Of: Asst.prof.Basavarajappa S
  • 2.
  • 3.
    Introduction Of GeminiAI On December 6,2023 Google introduced its cutting-edge AI model, Gemini, representing a notable advancement in the field of artificial intelligence. This innovative model has showcased its exceptional capabilities by surpassing benchmarks set by the formidable GPT-4 in several evaluations. This presentation explores Gemini's key features, applications, and its potential impact on the field of artificial intelligence.
  • 4.
    What I sGoogle Gemini? Gemini,Google's advanced AI model, excels in text, image, video, and audio processing. It'sa versatile multimodal model proficient in complex tasks across mathematics, physics, and more. Additionally, it can generate high-quality code in various programming languages.
  • 5.
    Different Sizes, DifferentCapabilities Google's Gemini AI model is not a one-size-fits-all solution; instead, it offers various versions tailored to specific requirements. These include Gemini Ultra, Gemini Nano, and Gemini Pro. Ultra Pro Nano our largest and most capable model for highly complex tasks. our best model for scaling across a wide range of tasks. our most efficient model for on-device tasks.
  • 6.
    Next-generation Capabilities Gemini departsfrom the conventional multimodal model creation process by being inherently multimodal from the start. Itundergoes pre-training across various modalities and isfine-tuned with additional multimodal data for superior effectiveness. Thisdistinctive approach enables Gemini to seamlessly understand and reason about diverse inputs, surpassing existing multimodal models with state-of-the-art capabilities. Sophisticated reasoning Understanding text, images, audio and more Advanced coding
  • 7.
    Features Natural Language Processing Gemini AI utilizesadvanced natural language processing techniques to understand and analyze text data. Machine Learning Algorithms Gemini AI leverages powerful machine learning algorithms to uncover patterns and insights from data. Real-time Data Analysis Gemini AI provides real-time data analysis capabilities, allowing users to make informed decisions quickly.
  • 8.
    The Potential OfGemini Excelling at competitive programming Unlocking insights in scientific literature Processing and understanding raw audio signal end-to-end Explaining reasoning in math and physics Reasoning about user intent to generate bespoke experiences
  • 9.
    Most Capable AIModel 86.4% 5-shot* (reported) Previous SOTA (GPT-4) Gemini Ultra 90.0% CoT@32* 89.8% Human expert (MMLU) Gemini isthe first model to outperform human experts on MMLU (Massive Multitask Language Understanding), one of the most popular methods to test the knowledge and problem solving abilities of AI models.
  • 10.
    Implementation Process Integration DataMapping Training Customization Testing and Validation Deployment and Go-Live Ongoing Support
  • 11.
    Responsibility And Safety Google'sGemini AI boasts immense power, but its creators prioritize responsibility. Rigorous testing and ethical guidelines aim to mitigate bias, toxicity, and misuse, ensuring a safe and beneficial future for this multi-talented AI.
  • 12.
    Impact On TheAI Industry Gemini, Google's most powerful AI model, surpasses benchmarks set by GPT-4, influencing applications like the Bard chatbot and Pixel 8 Pro. It is a pioneering multi-modal large language model designed for natural and "human-like" interactions, blurring the lines between man and machine. Vs
  • 13.
    State -of- the–Art Performance Gemini Surpasses benchmarks Outperforms current best results on 30 of 32 tasks, including text-to-code, question answering, and image captioning. Masters multimodal Handles text, code, images, and audio seamlessly, even beating humans on a new reasoning benchmark. Reasoning powerhouse Tackles complex, multi-step problems that require combining knowledge and logic. Scalable and adaptable Available in three sizes to fit different needs, from mobile devices to data centers.
  • 14.
    Conclusion Google's Gemini AIis a game-changer in artificial intelligence, with multimodal capabilities, collaborative development, and varied sizing options. Its expanding reach and integration into Google services are poised to reshape user experiences and the AI industry. Gemini
  • 15.