Familiarize yourself with the concept of generative AI and its ability to create content is introduced, along with its real-world applications and limitations. You'll delve into the differences between traditional machine learning models, generative AI, and artificial general intelligence (AGI), and explore the key factors driving the development of generative AI.

What is generative AI?

Getting to know generative AI

Working with a generative AI model

Applications of generative AI

Generative AI in the machine learning landscape

Picking the right tool for the job

Differentiating generative AI from traditional ML

More dogs and GANs

The evolution of generative AI

Driving the field forward

Transformers

Generative AI breakthroughs

Introduction to Generative AI

In this chapter, we cover the essential steps in creating generative AI models: research and design, data collection, model training, and evaluation. We examine the significance of diverse datasets and advanced training techniques, as well as various evaluation methods, while discussing their strengths and limitations.

Model design and data collection

Research and design

A dataset windfall?

Model training

Factors impacting model training

Techniques for developing specialized models

Model evaluation

PixAIr animation

Helping Intellibrand evaluate

Developing Generative AI Models

This chapter focuses on the responsible use of generative AI. We discuss the challenges and strategies to mitigate social bias, intellectual property and privacy issues, and ethical considerations to prevent misuse. We conclude by exploring the immense potential and risks of Artificial Generative Intelligence (AGI), along with the approaches to control its outcomes.

Mengevaluasi dan mengurangi bias sosial

Sumber bias

Options

Identify Bias

Mitigate Bias

Mendeteksi dan memitigasi bias

Hak cipta dan kepemilikan

Pertimbangan hukum dan privasi

Mengidentifikasi klaim kepemilikan HKI

Aplikasi generative AI yang bertanggung jawab

Prinsip penggunaan

Access

Prompt or Response

Application

Menerapkan praktik AI yang bertanggung jawab

Kecerdasan umum buatan (AGI)

Karakteristik AGI

Opsi

Hard constraints

Strategi alignment

Intervensi pemerintah

Hasil AGI

Using AI Models and Generated Content Responsibly

Chapter 4 examines the potential, impact, and integration of generative AI into human workflows. It discusses key contributors to AI development, from universities to companies, and explores societal adaptations to AI. It delves into AI's implications for productivity, job dynamics, education, media, entertainment, scientific advancements, and ethical considerations.

Bringing new AI into old workflows

Leveraging generative AI for data science

Designing a new marketing campaign

Progress in generative AI

To open source or not to open source

Super Duper GANs

Preparing for a future of generative AI

Generative AI in education

The value of skills in an AI world

You made it!

Getting Ready for the Age of Generative AI

Course Glossary: Generative AI Concepts

Artificial Intelligence (AI) sedang membentuk ulang dunia kita seperti tidak pernah sebelumnya. Generative AI adalah jenis AI yang dapat membuat konten baru dari teks, gambar, dan lainnya. Dalam kursus tanpa pengkodean ini, Anda akan mempelajari konsep-konsep menarik di bidang yang sedang berkembang ini dan bagaimana mempersiapkan diri untuk masa depan ketika AI diadopsi secara luas. Anda akan mulai dengan memahami bagaimana model-model ini menciptakan konten, posisi mereka dalam lanskap Machine Learning, dan bagaimana model tersebut dikembangkan. Mengingat kekuatan generative AI, Anda juga akan mempelajari peran hukum dan etika pada model ini, cara menghindari bias, serta menggunakan generative AI secara bertanggung jawab. Terakhir, Anda akan melihat masa depan generative AI dan bagaimana kita dapat memanfaatkan serta berkolaborasi secara efektif dengan alat-alat ini. Setelah kursus ini, Anda juga akan mampu membuka kemampuan kreatif dari generative AI. Ayo mulai!

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Understanding Machine Learning

Pelajari cara memanfaatkan AI generatif dengan bijak dan dampaknya pada masyarakat di masa depan.

Konsep Generative AI

Dasar-Dasar Kecerdasan Buatan

Mendeteksi dan memitigasi bias

Konsep Generative AI

Latihan interaktif praktis