‘Prompts’ are the core of interaction between humans and generative language models like ChatGPT.
They are the key that unlocks the ability of these systems to produce coherent and relevant responses.
The quality of a ‘prompt’ can make the difference between an unsatisfactory response and an impactful one. Now, OpenAI and DeepLearning.AI present an exciting opportunity to perfect these skills.
The Power of ‘Prompts’ in Artificial Intelligence
Language models, such as ChatGPT, are AI-driven systems capable of generating and understanding natural language. ‘Prompts’ are essential for communicating with these models. They act as cues that tell the system what kind of response is being sought.
The secret to an effective and useful response lies in the formulation of the ‘prompt’. A well-designed ‘prompt’ can significantly influence the quality of the generated response.
ChatGPT Prompt Engineering for Developers is a masterful collaboration between two giants in the field of artificial intelligence. Andrew Ng, co-founder of Coursera and former leader of Google Brain, and Isabella Fulford, a member of OpenAI’s technical team, join forces to offer a 1.5-hour training.
This course will provide software developers with the necessary knowledge to integrate language models into their applications.
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The course aims for ambitious goals:
- Learn best engineering practices for application development.
- Discover new ways to utilize language models.
- Gain experience in creating ‘prompts’ using OpenAI’s API.
- Create custom chatbots and more.
In addition to theory, you will have access to the Jupyter Notebook platform to put what you’ve learned into practice.
Accessing this course is straightforward; simply use the button at the end of this post:
