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GPT-3.5

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May 1, 2024 3 minute read
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Generative Pre-trained Transformer 3.5 (GPT-3.5) is a powerful language learning model developed by OpenAI. It's designed to understand and generate human-like text, making it useful for various applications such as natural language processing (NLP), question answering, and dialogue generation.

Why Learn GPT-3.5?

There are several reasons why you might want to learn GPT-3.5, including:

Path to GPT-3.5

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We've curated three courses to help you on your path to GPT-3.5. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

We've selected three books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GPT-3.5.
Cover image
AI Superpowers
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Examines the potential impact of GPT-3.5 on various industries and sectors. It discusses the ethical implications of AI and offers insights into how we can prepare for the future.
AI 2041: Ten Visions for Our Future
Paperback
$$
AI Superpowers: China, Silicon Valley, and the New...
Paperback
$$
(Deutsch) AI-Superpowers: China, Silicon Valley und die neue...
Hardcover
$$
AI Superpowers: China, Silicon Valley, and the New...
Kindle Edition
$$
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Artificial Intelligence in Practice
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Provides practical advice on how businesses can use GPT-3.5 to improve their operations. It covers a wide range of topics, from customer service to marketing to product development.
Generative AI in Practice: 100+ Amazing Ways...
Hardcover
$$
Artificial Intelligence in Practice: How 50...
Hardcover
$$
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Deep Medicine
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Explores the potential of GPT-3.5 to transform healthcare. It discusses how AI can be used to diagnose diseases, develop new treatments, and provide personalized care.
Deep Medicine: How Artificial Intelligence Can Make...
Hardcover
$$
(Deutsch) Deep Medicine -- Künstliche Intelligenz in der...
Kindle Edition
$
(Pусский) Искусственный интеллект в медицине: Как умные...
Kindle Edition
$
Relevant careers
Machine Learning Engineer
Natural Language Processing Engineer
Data Scientist
Software Engineer
AI Developer
Content Creator
Technical Writer
UX Designer
Product Manager
Marketing Manager
Related topics
Machine Learning
Deep Learning
Natural Language Processing
Artificial Intelligence
Computer Vision
Data Science
Software Engineering
Cloud Computing
Web Development
Mobile Development
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