Description
ChatGPT: Building Robust and Trustworthy GPTs. Led by Jules White, Senior Consultant in Generative AI and Professor of Computer Science, this course focuses on how to build and implement large language models like ChatGPT that are highly reliable, robust, and high-quality. The course content covers effectively managing the limitations and errors common to these systems. Participants learn how to select and design appropriate use cases by gaining a deep understanding of the roots of errors in model outputs. A key focus is on designing prompts that are true-to-life and include strategies for detecting and controlling model illusions to ensure the accuracy and reliability of AI solutions. It also teaches how to re-architect use cases to increase safety through techniques such as filtering, routing, and employing human expertise to assess the quality of outputs. Participants will gain practical insights into creating safe operations in scenarios where expertise is required to judge outcomes. The course will also introduce and explore the ACHIEVE framework, which aims to help design ethical and beneficial use cases. By the end, learners will have the knowledge and skills to develop reliable, reality-based AI solutions that can be seamlessly integrated into existing workflows. Key skills in this course include Generative AI, General AI, and AI applications in business, as well as hands-on mastery of ChatGPT.
What you will learn
- Manage ChatGPT restrictions:
- How to understand the limitations of ChatGPT and how its mistakes affect the choice of use cases.
- Building reliable prompts:
- Discover ways to design fact-checkable prompts to ensure accuracy.
- Identifying and managing hallucinations:
- Developing effective strategies for identifying and managing hallucination errors in artificial intelligence models.
- Secure Architecture Use Cases:
- Learn how to rethink use case architecture to increase security, using techniques such as filtering and routing.
- Output quality assessment:
- Gain skills in using your expertise to assess output quality and build safe operations in use cases where sufficient expertise exists.
- ACHIEVE Framework:
- Learn and explore the ACHIEVE framework for designing use cases that are both ethical and beneficial.
- Creating reliable solutions:
- Gain the knowledge necessary to create fact-checked, reliable AI solutions that integrate seamlessly into workflows.
This course is suitable for people who:
- Professionals or developers who want to build robust and reliable generative AI solutions.
- Product managers or technical decision makers who need to understand the limitations of ChatGPT and manage the risks of illusions.
- People looking to develop skills in designing fact-checkable prompts and architectural engineering of AI use cases.
- Professionals interested in understanding the ethical and beneficial aspects of generative AI through the ACHIEVE framework.
ChatGPT: Building Robust and Trustworthy GPTs Course Details
- Publisher: LinkedIn
- Instructor: Jules White
- Education level: Intermediate
- Training duration: 1 hour and 45 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
475 MB
