Google DeepMind (Gemini's origin)

Gemini is Google’s family of advanced multimodal AI models, developed by DeepMind — Google’s world-class AI research lab known for creating AlphaGo, AlphaFold, and now, Gemini 1.5.

Gemini represents Google’s most ambitious effort to compete with OpenAI's GPT-4 and lead the future of truly multimodal AI.

🧠 What Is Gemini?

Gemini is a multimodal LLM that can understand and generate:

  • Text

  • Images

  • Code

  • Audio and video (in experimental versions)

It’s designed from the ground up to process multiple types of inputs in a unified way — unlike older models that bolt on different components.

🪜 Gemini Versions

Version
Release Date
Key Features

Gemini 1

Dec 2023

Multimodal foundation model (text + images), Google Bard rebranded as Gemini

Gemini 1.5

Feb 2024

Massive context window (up to 1M tokens), strong performance in reasoning and memory

Gemini Nano

Ongoing

Lightweight model for mobile (used in Pixel devices)

💡 What Makes Gemini Unique?

  • Native multimodality: Trained to understand text, images, and code together from day one

  • Massive context: Gemini 1.5 can handle huge documents, videos, or long conversations

  • Deep integration with Google: Powers Gemini in Gmail, Docs, Search, Android, and more

  • Research-grade: Combines strengths from Google Brain + DeepMind

⚙️ Use Cases

  • Answering questions about uploaded documents or images

  • Coding, debugging, and code explanation

  • Multimodal search and summarization

  • Personal assistants in Google Workspace and Pixel phones

📦 How to Access Gemini

Platform
Description

gemini.google.com

Chat-based interface (replaces Bard)

Google Cloud Vertex AI

API access for developers

Android 14+

Gemini Nano runs locally on Pixel devices

Google Workspace

Gemini embedded in Gmail, Docs, Slides, etc.

🔐 Is Gemini Open Source?

  • No — Gemini is closed-source, but accessible via APIs

  • Some Gemini Nano models may be available in developer SDKs

🧠 Summary

  • Gemini by DeepMind is Google’s flagship multimodal LLM platform

  • Competes with GPT-4, Claude 3, and other top-tier models

  • Known for large memory, multimodal inputs, and tight integration with Google tools

PreviousxAI (Grok)NextChapter 4 - Ecosystem Tools & Frameworks

Last updated