'Build your own ChatGPT' | 60 min Bootcamp with Nandha Engineering College

LEARNING OBJECTIVES

After completing this course you will,

  • Understanding the basics of Generative AI.
  • Familiarize with the architecture of the GPT model.
  • Learn how you can generate a relevant response using awesome prompts.

Complete this course in 3 easy steps to earn your certificate!

STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment to receive your certificate.


STEP 1 : TUTORIAL

Watch this self guided tutorial on the “Build your own ChatGPT”. Gain a comprehensive understanding of the process, from assembling the necessary tools and datasets to implementing powerful deep learning techniques.


STEP 2 : PRACTICAL EXERCISE

Click the below button to access the ChatGPT kandi kit. This kit has all the required dependencies and resources you need to build your application.

Click on the 1-Click Installer button on the kandi kit page to install the ChatGPT kit. On installing and running this kit, you will have a working model that you can customize and use in your project.

**In case you want to review the session, feel free to watch the recording HERE.

kandi 1-Click Kit - Dark


STEP 3 : ASSESSMENT

Complete a short assessment and earn your certificate now. Congrats

Take Assessment

Your assessment will be reviewed and you will receive a verified certificate via email within a week.


SUPPORT

Reach out to us by replying below for any help you may need with this course.

We hope you enjoyed using kandi! Continue your learning journey with kandi Congrats

1. Which of the following is not an NLP task?

  • Part-of-speech tagging
  • Sentiment analysis
  • Image classification
  • Named entity recognition
0 voters

2. Which of the following is a common language model used in NLP?

  • Naive Bayes
  • Decision tree
  • Random forest
  • LSTM
0 voters

3. Which of the following is not a type of chatbot?

  • Rule-based chatbot
  • Contextual chatbot
  • Hybrid chatbot
  • Neural chatbot
0 voters

4. Which of the following is not a natural language understanding task?

  • Named entity recognition
  • Intent classification
  • Text summarization
  • Machine translation
0 voters

5. Which of the following is a common challenge in developing chatbots?

  • Limited data
  • Complex algorithms
  • Overfitting
  • Underfitting
0 voters