(2) Fundamentals of Generative AI

Information that can come in many forms: numbers, dates, text descriptions, and even images or sounds.

Data

Data that is organized and easy to search, often stored in relational databases.

Structured data

Data that lacks a predefined structure and requires sophisticated analysis techniques.

Unstructured Data

Data that is accurate, complete, consistent, and relevant.

Quality Data

Data for model training needs to be readily available, usable, and in the proper format.

Accessible Data

ML lifecycle: The process of collecting, cleaning, and transforming raw data into a usable format for analysis or model training.

Data Ingestion & Preparation

ML lifecycle: The process of creating your ML model using data.

Model Training

ML lifecycle: The process of making a trained model available for use.

Model Deployment

ML lifecycle: The process of managing and maintaining your models over time.

Model Management

The user-facing part of generative AI. This is the layer that allows users to interact with and leverage the capabilities of AI.

Gen-AI-powered Application

A piece of software that learns how to best achieve a goal based on inputs and tools available to it.

Agent

This layer offers APIs, data management capabilities, and model deployment tools. It bridges the gap between models and agents while simplifying the complexities of infrastructure management.

Platform

A complex algorithm trained on vast amounts of data. It learns patterns and relationships in the data, allowing it to generate new content, translate languages, answer questions, and much more.

Model

This layer provides the core computing resources needed for generative AI. This includes the physical hardware (like servers, GPUs, and TPUs) and software needed to store and run AI models and training data.

Infrastructure

It supports multimodal understanding, advanced conversational AI, content creation, and question answering.

Gemini

It supports multimodal understanding, advanced conversational AI, content creation, and question answering.

Gemma

It’s a text-to-image diffusion model that generates high-quality images from textual descriptions.

Imagen

It generates video content based on text descriptions or still images.

Veo