- COURSE
What is OpenAI and Why Should You Care? An Introduction to the World’s Leading AI (OpenAI Workshop)
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Duration:
This Workshop will teach you about OpenAI’s technologies, especially GPT-3, a powerful generative model. You will learn the basics and the applications of GPT-3, the ethics, and the innovations of OpenAI, and how to use and interact with OpenAI in different scenarios.
Upcoming Class Dates and Times
All Sunset Learning courses are guaranteed to run
Course Outline and Details
Prerequisites
Target Audience
This Workshop is aimed at AI professionals and enthusiasts, software developers, data scientists, researchers, and anyone interested in OpenAI's technologies, especially generative models such as GPT-3. The audience can have a diverse range of knowledge, from beginners to AI experts, as the syllabus covers everything from introductions to recent advancements. Participation is encouraged by people from various industries interested in applying generative models in their projects, as well as those interested in understanding the ethical aspects associated with these emerging technologies.
Course Objectives
The main objective of this Workshop on OpenAI is to provide participants with a comprehensive understanding of the technologies developed by OpenAI, with a specific focus on generative models such as GPT-3. The Workshop seeks to address everything from the fundamentals of architecture to practical applications, ethical challenges, and recent advances. In addition, it is intended to offer an interactive experience through live demonstrations and Q&A sessions, so that participants leave with practical and up-to-date knowledge on how to use and understand OpenAI's capabilities in various contexts.
Course Outline
Introduction to OpenAI:
- Welcome and introduction of the speaker.
- OpenAI's historical context and mission.
- Overview of the technologies developed by OpenAI.
OpenAI: Models & Platforms:
- Description of models developed by OpenAI (e.g. GPT-3).
- Platforms and tools available for developers.
- Featured use cases of OpenAI models in the industry.
GPT (Generative Pre-trained Transformer) – Fundamentals:
- GPT architecture explained.
- Key concepts such as attention and pre-training.
- Applications and adaptations of GPT in various fields.
Practical Use of OpenAI in Projects:
- Success stories and practical applications in different industries.
- Best practices for integrating OpenAI models into projects.
- Ethical and safety considerations in the use of generative models.
OpenAI in Research and Recent Advances:
- Exploration of recent research projects.
- Upgrades and upgrades to existing models.
- Future prospects and directions for development.
Live Interaction with OpenAI:
- Live demonstration of how to interact with OpenAI models.
- Practical examples of requests and responses.
- Tips for optimal results.
Challenges and Ethical Considerations:
- Discussion of the ethical challenges associated with OpenAI's technologies.
- Considerations on bias and equity in generative models.
- Initiatives and practices to address ethical concerns.
Q&A:
- Answers to questions from the audience.
- Real-time interaction to address concerns.