1 -Course Overview (6.71 MB)
2 -AI Assistants and The OpenAI Platform (31.28 MB)
3 -The Difference between Chat Completion and Assistants (5.05 MB)
4 -Understanding Assistants and Its Core Objects (10.36 MB)
5 -Assistants Run Lifecycle (3.41 MB)
6 -Available Tools for Assistants (5.96 MB)
7 -OpenAI Platform Data Access and Limitations (3.32 MB)
8 -Creating an Assistant in the Platform and Using It in the Playground (9.48 MB)
10 -Creating an Assistant (10.12 MB)
11 -Creating a Thread (7.86 MB)
12 -Adding Messages to Threads (5.98 MB)
13 -Running Assistants and Retrieving State (10.48 MB)
14 -Displaying the Assistants Response (13.71 MB)
15 -Your Assistant (17.82 MB)
16 -Tools Code Interpreter (30.55 MB)
17 -Tools Knowledge Retrieval (11.36 MB)
18 -Tools Function Calling (18.04 MB)
19 -Assistants Documentation (7.71 MB)
20 -A Few Final Words (17.88 MB)
9 -Working with Assistants (13.32 MB)
1 -Course Overview (5.91 MB)
2 -The Importance of Natural Language and Its Use Cases (17.07 MB)
3 -Getting to Know the Chat Completions API (7.88 MB)
4 -Using the Chat Completions API (9.83 MB)
5 -Constructing Your Requests (11.49 MB)
6 -Demo Chat Completions - Using the Playground (16.19 MB)
10 -Using Messages to Create Conversations (14.48 MB)
11 -How to Stream Completions (12.78 MB)
12 -JSON Mode to Format the Content (5.8 MB)
13 -Reproducible Outputs (5.26 MB)
14 -The Generative Powers of the Chat Completion API (14.83 MB)
7 -Using the Chat Completions API (16.67 MB)
8 -Calling the Chat Completions API and Learning about Its Parameters (11.99 MB)
9 -The Response Object and Costs (9.54 MB)
1 -Course Overview (3.88 MB)
2 -Agenda (1.46 MB)
3 -What Are Embeddings (6.34 MB)
4 -Introducing OpenAI Embeddings (6.53 MB)
5 -Generating OpenAI API Key (4.62 MB)
6 -Setting up Project (16.8 MB)
7 -Creating and Searching Embeddings (75.15 MB)
8 -Summary (1.2 MB)
10 -Challenges with File Embeddings (2.45 MB)
11 -Introduction to Vector Databases (3.02 MB)
12 -Working with ChromaDB (19.26 MB)
13 -Summary (1.55 MB)
9 -Agenda (1.12 MB)
1 -Course Overview (4.92 MB)
2 -Overview (3.1 MB)
3 -What Is DALL-E Anyway (4.21 MB)
4 -Generating Images from Scratch Based on a Text Prompt (4.16 MB)
5 -Exploring Image Editing and Inpainting with DALL-E 2 (3.73 MB)
6 -Creating Image Variations (3.96 MB)
7 -Summary (1.48 MB)
10 -Implementing Image Generation from Text Prompts (11.33 MB)
11 -Handling Responses (3.3 MB)
12 -Saving Images to Disk (6.31 MB)
13 -Hands-on Image Editing with Inpainting Techniques (7.5 MB)
14 -Creating and Applying Image Variations (6.34 MB)
15 -Summary (1.46 MB)
8 -Overview (1.44 MB)
9 -Environment Setup (5.32 MB)
16 -Overview (1.66 MB)
17 -Error Handling and Troubleshooting Common Issues (3.85 MB)
18 -Rate Limiting and Retries (3.54 MB)
19 -Using the Async Client (2.42 MB)
20 -Integrating the OpenAI Image API in a Real-world Project (2.71 MB)
21 -Summary (1.81 MB)
1 -Course Overview (3.94 MB)
10 -Demo Address the OpenAI APIs Directly (35.44 MB)
11 -Demo Experiment with the OpenAI Playground (29.95 MB)
12 -Demo Explore OpenAI Pricing (3.71 MB)
13 -For Further Learning (1.61 MB)
14 -Summary (2.57 MB)
2 -Overview (2.39 MB)
3 -The OpenAI Model Family (11.18 MB)
4 -Continuous Model Upgrade (1.34 MB)
5 -GPT Models and Their Use Cases (4.63 MB)
6 -Get Access to the OpenAI APIs (2.6 MB)
7 -Factors Affecting OpenAI LLM Speed (3.19 MB)
8 -OpenAI Tokenizer (5.84 MB)
9 -OpenAI Consumption-based Pricing (2.57 MB)
15 -Overview (892.65 KB)
16 -About Context Windows (3.72 MB)
17 -Visualizing the Context Window (2.91 MB)
18 -GPT Models and Maximum Token Length (3.07 MB)
19 -Optimize Token Usage (2.94 MB)
20 -The Tiktoken Python Library (2.82 MB)
21 -Demo Explore Token Consumption (10.86 MB)
22 -Demo Report on Token Consumption (18.09 MB)
23 -Summary (2.59 MB)
1 -Course Overview (4.4 MB)
10 -Demo Analyze Python Source Code (12 MB)
11 -Summary (3.06 MB)
2 -Overview (3.84 MB)
3 -Prompt Engineering Advanced Techniques (10.11 MB)
4 -Few-shot Prompting Methods (10.31 MB)
5 -System Messages (12.25 MB)
6 -Optimize GPT Query Response Times (6.83 MB)
7 -Demo Tour the OpenAI API Docs and Libraries (13.46 MB)
8 -Demo Explore Tokenization and System Messages (20.6 MB)
9 -Demo Generate Python Source Code (20.54 MB)
1 -Course Overview (7.55 MB)
2 -Introduction and Overview (32.27 MB)
3 -Identify AI Threats and OpenAI Best Practices (29.47 MB)
4 -Configuring and Testing Security Settings (17.71 MB)
5 -Review of Security Measures and Best Practices (26.49 MB)
6 -Ethical AI and Content Moderation Principles (23.65 MB)
7 -Using OpenAI Moderation Tools (39.09 MB)
8 -Assessing and Optimizing Content Moderation Strategies (28.3 MB)
10 -Developing and Deploying AI Applications with OpenAI SDK (14.31 MB)
11 -Monitoring, Updating, and Best Practices (59.05 MB)
12 -Course Recap and Continuous Learning (39.94 MB)
9 -Designing AI Solutions with Integrated Security and Moderation (47.53 MB)
1 -Course Overview (8.54 MB)
2 -Accessing Whisper (4.78 MB)
3 -Figuring out How Youll Deploy Whisper (19.12 MB)
4 -Using Whisper for English Transcriptions (20.1 MB)
5 -Using Whisper with Other Languages (8.98 MB)
6 -Customizing Whisper (6.85 MB)
7 -Integrating Whisper into a Workflow (13.67 MB)
1 -Course Overview (4.84 MB)
2 -Introduction (7.78 MB)
3 -AI, GPT, and OpenAI (16.26 MB)
4 -REST APIs and JSON (6.56 MB)
5 -Getting an OpenAI API Key (12.65 MB)
6 -Demo Calling the API Using Curl, JS, and Python (24.78 MB)
7 -Summary (3.51 MB)
10 -Setting up the Python OpenAI Library (6.25 MB)
11 -The Images API (23 MB)
12 -The Audio API (24.14 MB)
13 -The Chat Completions API (24.89 MB)
14 -API Pricing (7.61 MB)
15 -Summary (3.35 MB)
8 -Explaining Key Terms (8.87 MB)
9 -OpenAIs API Models (30.91 MB)
16 -The Demo Application (9.41 MB)
17 -Designing the First Prompt (26.09 MB)
18 -Designing the Second Prompt (6.96 MB)
19 -Building the Application (29.71 MB)
20 -Calling External Functions (47.88 MB)
21 -Error Handling (22.4 MB)
22 -Summary (2.42 MB)
23 -Handling Rate Limits (34.1 MB)
24 -The Moderations API (42.62 MB)
25 -Counting Tokens (38.72 MB)
26 -Choosing a Model (11.02 MB)
27 -Course Summary (8.56 MB)