Generative AI: OpenAI API, DeepSeek, and ChatGPT in Python

  • Welcome
  • Introduction and Outline
Introduction and Outline
07:34
Where to get the code
02:06
How to Succeed in this Course
03:04
UPDATE: GPT-4o mini
03:02
UPDATE: DeepSeek-v3 and DeepSeek R1
05:48
The ChatGPT and OpenAI API Section Outline
03:59
Signup For OpenAI & Get Your API Key
06:28
Set Environment Variables (Windows)
02:38
Set Environment Variables (Linux & Mac)
06:21
Install the OpenAI and Tiktoken Libraries
01:15
Pricing
13:46
How to Pay & Add Billing Details
04:11
Quick Start (Use the ChatGPT API Right Away!)
13:55
What is a Token?
11:03
Estimating Costs with Tiktoken
14:20
Reproducibility
04:51
System Prompt
15:27
Incorporating History
17:40
Temperature
19:08
Frequency and Presence Penalties
03:35
How LLMs Conquered NLP
07:16
How LLMs Change the NLP & Machine Learning Workflow
03:20
Usage Policies
02:24
Suggestion Box
03:10
Prompt Engineering Section Outline
03:33
Unstructured to Structured
21:57
Structured to Unstructured
11:03
JSON Mode
08:07
Translation, Tone Enhancement, and Language Detection
19:53
Sentiment Analysis & Stock Trading
09:55
Summarization & ELI5
10:01
Another ELI5 Example
03:59
Question-Answering
14:15
Chain of Thought Prompting
17:52
What is Semantic Search?
17:34
Facebook AI Similarity Search (FAISS)
04:53
OpenAI's Embeddings Endpoint
02:01
RAG with FAISS (pt 1)
13:31
RAG with FAISS (pt 2)
08:07
RAG with FAISS (pt 3)
16:54
RAG with FAISS (pt 4)
02:28
What Is Fine-Tuning and When Should You Use It?
13:53
OpenAI's Fine-Tuning and File Endpoints
06:51
Fine-Tuning ChatGPT - Making the Dataset
24:03
Fine-Tuning ChatGPT - Upload Data and Create Fine-Tuning Job
10:34
Fine-Tuning ChatGPT - Check the Results
08:12
GPT-4 With Vision Concepts
09:28
GPT-4 With Vision Applications in Code
26:28
Application: Iterative Web Design
01:42
Analyze Video With GPT-4
21:24
How To Use GPT-4o
03:59
Batch API Section Intro
01:04
Batch API
07:45
Structured Outputs
04:32
Batch API & Structured Outputs in Code
38:03
The Roots of Semantic Search
16:00
Who Should Take This Course?
05:19
What is the Appendix?
03:47
Pre-Installation Check
04:13
Anaconda Environment Setup
20:21
How to install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow
17:33
Proof that using Jupyter Notebook is the same as not using it
12:29
How to use Github & Extra Coding Tips (Optional)
11:12
How to Succeed in this Course (Long Version)
10:25
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
22:05
What order should I take your courses in? (part 1)
11:19
What order should I take your courses in? (part 2)
16:07
Where to get discount coupons and FREE deep learning material
05:49
Introduction and Outline
07:34
Where to get the code
02:06
How to Succeed in this Course
03:04
UPDATE: GPT-4o mini
03:02
UPDATE: DeepSeek-v3 and DeepSeek R1
05:48
The ChatGPT and OpenAI API Section Outline
03:59
Signup For OpenAI & Get Your API Key
06:28
Set Environment Variables (Windows)
02:38
Set Environment Variables (Linux & Mac)
06:21
Install the OpenAI and Tiktoken Libraries
01:15
Pricing
13:46
How to Pay & Add Billing Details
04:11
Quick Start (Use the ChatGPT API Right Away!)
13:55
What is a Token?
11:03
Estimating Costs with Tiktoken
14:20
Reproducibility
04:51
System Prompt
15:27
Incorporating History
17:40
Temperature
19:08
Frequency and Presence Penalties
03:35
How LLMs Conquered NLP
07:16
How LLMs Change the NLP & Machine Learning Workflow
03:20
Usage Policies
02:24
Suggestion Box
03:10
Prompt Engineering Section Outline
03:33
Unstructured to Structured
21:57
Structured to Unstructured
11:03
JSON Mode
08:07
Translation, Tone Enhancement, and Language Detection
19:53
Sentiment Analysis & Stock Trading
09:55
Summarization & ELI5
10:01
Another ELI5 Example
03:59
Question-Answering
14:15
Chain of Thought Prompting
17:52
What is Semantic Search?
17:34
Facebook AI Similarity Search (FAISS)
04:53
OpenAI's Embeddings Endpoint
02:01
RAG with FAISS (pt 1)
13:31
RAG with FAISS (pt 2)
08:07
RAG with FAISS (pt 3)
16:54
RAG with FAISS (pt 4)
02:28
What Is Fine-Tuning and When Should You Use It?
13:53
OpenAI's Fine-Tuning and File Endpoints
06:51
Fine-Tuning ChatGPT - Making the Dataset
24:03
Fine-Tuning ChatGPT - Upload Data and Create Fine-Tuning Job
10:34
Fine-Tuning ChatGPT - Check the Results
08:12
GPT-4 With Vision Concepts
09:28
GPT-4 With Vision Applications in Code
26:28
Application: Iterative Web Design
01:42
Analyze Video With GPT-4
21:24
How To Use GPT-4o
03:59
Batch API Section Intro
01:04
Batch API
07:45
Structured Outputs
04:32
Batch API & Structured Outputs in Code
38:03
The Roots of Semantic Search
16:00
Who Should Take This Course?
05:19
What is the Appendix?
03:47
Pre-Installation Check
04:13
Anaconda Environment Setup
20:21
How to install Numpy, Scipy, Matplotlib, Pandas, PyTorch, and TensorFlow
17:33
Proof that using Jupyter Notebook is the same as not using it
12:29
How to use Github & Extra Coding Tips (Optional)
11:12
How to Succeed in this Course (Long Version)
10:25
Is this for Beginners or Experts? Academic or Practical? Fast or slow-paced?
22:05
What order should I take your courses in? (part 1)
11:19
What order should I take your courses in? (part 2)
16:07
Where to get discount coupons and FREE deep learning material
05:49

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