Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python (Learn to Use GenAI for your Business and Projects)

This training, "Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python," will enable you to use the power of these technologies for your business and personal applications.

In this all-inclusive class called “Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python,” you will start by mastering the basics of using APIs, ranging from signing up for an account and getting an API key to learning about pricing plans and usage policies. Then comes the hands-on tutorials, including building a customer service chatbot that learns from past interactions, providing a path for deeper exploration.

Then, move into the realm of unlimited possibilities offered by Generative AI through prompt engineering, which helps control how ChatGPT responds to clients. From structured data output to sentiment analysis and language translation, exploit these tools’ scope for creative writing or text summarization tasks, among others. Learn advanced techniques like Retrieval Augmented Generation (RAG) to weave external data into ChatGPT while tweaking it for personalization according to your needs.

Finally, this is a course titled “Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python,” which explores the breakthrough capabilities of GPT-4 with Vision as pertains to text-image understanding for things such as homework grading automation or meme inter

Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python Table of Contents:

1. Introduction and Outline (07:33)
2. Where To Get the Code (04:38)
3. How to Succeed in this Course (03:04)
4. The ChatGPI and OpenAI API Section Outline (03:59)
5. Signup For OpenAI & Get Your API Key (06:28)
6. Set Environment Variables (Windows) (02:38)
7. Set Environment Variables (Linux & Mac) (06:21)
8. Install the OpenAI and Tiktoken Libraries (01:15)
9. Pricing (13:46)
10. How to Pay & Add Billing Details (04:11)
11. Quick Start (Use the ChatGPT API Right Away!) (13:55)
12. What is a Token? (11:03)
13. Estimating Costs with Tiktoken (14:20)
14. Reproducibility (04:51)
15. System Prompt (15:27)
16. Incorporating History (17:40)
17. Temperature (19:08)
18. Frequency and Presence Penalties (03:35)
19. How LLMs Conquered NLP (07:16)
20. How LLMs Change the NLP & Machine Learning Workflow (03:20)
21. Usage Policies (02:24)
22. Suggestion Box (03:10)
23. Prompt Engineering Section Outline (03:33)
24. Unstructured to Structured (21:57)
25. Structured to Unstructured (11:03)
26. JSON Mode (08:07)
27. Translation, Tone Enhancement, and Language Detection (19:53)
28. Sentiment Analysis & Stock Trading (09:55)
29. Summarization & ELI5 (10:01)
30. Another ELI5 Example (03:59)
31. Question-Answering (14:15)
32. Chain of Thought Prompting (17:52)
33. What is Semantic Search? (17:34)
34. Facebook AI Similarity Search (FAISS) (04:53)
35. OpenAI's Embeddings Endpoint (02:01)
36. RAG with FAISS (pt 1) (13:31)
37. RAG with FAISS (pt 2) (08:07)
38. RAG with FAISS (pt 3) (16:54)
39. RAG with FAISS (pt 4) (02:28)
40. What Is Fine-Tuning and When Should You Use It? (13:53)
41. OpenAI's Fine-Tuning and File Endpoints (06:51)
42. Fine-Tuning ChatGPT - Making the Dataset (24:03)
43. Fine-Tuning ChatGPT - Upload Data and Create Fine-Tuning Job (10:34)
44. Fine-Tuning ChatGPT - Check the Results (08:12)
45. GPT-4 With Vision Concepts (09:28)
46. GPT-4 With Vision Applications in Code (26:28)
47. Application: Iterative Web Design (01:42)
48. Analyze Video With GPT-4 (21:24)
49. The Roots of Semantic Search (16:00)
50. Who Should Take This Course? (05:19)
51. Pre-Installation Check (04:12)
52. Anaconda Environment Setup (20:20)
53. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow (17:30)
54. Proof that using Jupyter Notebook is the same as not using it (12:29)
55. Where To Get the Code Troubleshooting (04:06)
56. How to use Github & Extra Coding Tips (Optional) (11:12)
57. How to Succeed in this Course (Long Version) (10:24)
58. Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced? (22:04)
59. What order should I take your courses in? (part 1) (11:18)
60. What order should I take your courses in? (part 2) (16:07)
61. What is the Appendix? (02:48)
62. BONUS (05:48)

Who is this course for?

1. Newbies and professionals who are focused on OpenAI API
2. Professionals with the objective of ChatGPT automation
3. Businessmen investing in AI-driven ventures

Click on the links below to Download Generative AI: OpenAI API, ChatGPT, and GPT-4 in Python!