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Welcome To Gemini AI for Unity Devs

Michael Rosario

InnovativeTeams.NET

@MichaelRosario

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DesignInteractive.NET

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googledevscentralflorida.com

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LLM Enterprise Use Cases

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Robot Control using Natural Language

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InnovativeTeams.NET

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Favorite AI Tools?

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Gemini can understand and generate text, as well as images and code. This makes it a powerful tool for a wide range of tasks, from writing to creative design

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Google is the industry pioneer in AI

Responsible AI

3,000

Researchers

7,000

Publications

Built & Tested for Safety

Privacy in design

Upholds high scientific standards

Accountable to People

Socially Beneficial

Avoid creating unfair bias

2015

Google DeepMind AlphaGo defeats Go champion

2016

Google’s DeepMind helps detect eye disease

2017

Google invents Transformer kickstarting LLM revolution

2018

Google’s groundbreaking large language model, BERT

2019

Text-to-Text

Transfer Transformer

LLM 10B P Model Open Sourced

2020

Google LaMDA

Model Trained to converse

2022

AlphaFold predicts structures of all known proteins

2023

A conversational AI Service powered by PaLM2

2024

Family of multimodal LLMs & products

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Multimodality

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(Android AICore)

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ai.google.dev/gemma

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Gemini Capabilities

  • Text generation
    • Summarization
    • Content tagging
    • Question answering
  • Drafting code
  • Image generation
  • Image understanding

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Principles of Ethical AI

  • Avoid using proprietary information when training a ML model
  • Avoid Bias
  • Use AI technology to empower people and create opportunity
  • AI is sometimes incorrect. Design systems to minimize risks of incorrect data.

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AI Studio

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Code Generation

Content generation

Convert human language requests to machine requests

Rapid tool building

Generate code based on a user prompt

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Gemini vs. ChatGPT(Pros)

  • Excels at understanding longer prompts and context from previous interactions.
  • Connects into Google ecosystem of products
  • Image generation and understanding
  • Google Gemini tends to be more current

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Gemini vs. ChatGPT(Cons)

  • Criticism regarding race handling in image generation and responses
  • No custom chatbots
  • Some may not want strong integration with Google ecosystem
  • It’s early days

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Abstract

A series of videos, documents, resources and quizzes to help your attendees become more familiar with basic concepts related to Generative AI on Google Cloud. These are accessible via the Cloud Skills Boost learning Generative AI Learning Path, and only the last “course” has a lab associated with it. All of the other courses are available for free.

Introduction to Generative AI Introduction to Large Language Models

Introduction to Responsible AI Generative AI Fundamentals

Introduction to Image Generation Encoder-Decoder Architecture

Attention Mechanism Transformer Models and BERT Model

Create Image Captioning Models Introduction to Generative AI Studio

Introduction to Generative AI Courses

Background Resources

All Free