This course introduces participants to the powerful language model, ChatGPT, that was developed by OpenAI. Able to generate human-like responses to natural language inputs, ChatGPT can be used in a wide range of applications, such as chatbots, customer service, and content creation. Hands-on activities throughout the course ensure that participants gain practical experience in using ChatGPT within Natural Language Processing (NLP) applications in a variety of real-world scenarios.
Purpose
| Recognize the power of ChatGPT and how it can generate human-like responses to natural language inputs. |
Audience
| This course was designed for:
Python developers who have a basic understanding of programming concepts and want to learn how to incorporate natural language processing into their projects.
Individuals who have experience with other programming languages and want to learn Python for NLP.
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Role
| SW Developers |
Skill level
| Intermediate |
Style
| Lecture | Hands-on Activities |
Duration
| 5 days |
Related technologies
| Natural Language Processing | AI/ML | Python | Gen AI |
Prerequisites
- A basic understanding of Python programming
- Familiarity with natural language processing concepts such as tokenization, part-of-speech tagging, and sentiment analysis
- A working knowledge of machine learning concepts such as supervised and unsupervised learning
- Some understanding of Language Models
