Understanding Assistants and Its Core Objects
Course Content
0 / 136 completedAssistants Run Lifecycle
The Difference between Chat Completion and Assistants
Understanding Assistants and Its Core Objects
Available Tools for Assistants
AI Assistants and The OpenAI Platform
OpenAI Platform Data Access and Limitations
Creating an Assistant in the Platform and Using It in the Playground
Course Overview
Working with Assistants
Creating an Assistant
Creating a Thread
Adding Messages to Threads
Displaying the Assistants Response
Your Assistant
Tools Knowledge Retrieval
Running Assistants and Retrieving State
Tools Code Interpreter
Assistants Documentation
Tools Function Calling
A Few Final Words
The Importance of Natural Language and Its Use Cases
Getting to Know the Chat Completions API
Constructing Your Requests
Using the Chat Completions API
Demo Chat Completions - Using the Playground
Calling the Chat Completions API and Learning about Its Parameters
Using the Chat Completions API
The Response Object and Costs
Using Messages to Create Conversations
How to Stream Completions
JSON Mode to Format the Content
The Generative Powers of the Chat Completion API
Reproducible Outputs
Agenda
Introducing OpenAI Embeddings
Generating OpenAI API Key
What Are Embeddings
Setting up Project
Summary
Creating and Searching Embeddings
Agenda
Challenges with File Embeddings
Summary
Introduction to Vector Databases
Working with ChromaDB
Overview
What Is DALL-E Anyway
Generating Images from Scratch Based on a Text Prompt
Exploring Image Editing and Inpainting with DALL-E 2
Summary
Creating Image Variations
Overview
Environment Setup
Handling Responses
Implementing Image Generation from Text Prompts
Hands-on Image Editing with Inpainting Techniques
Saving Images to Disk
Creating and Applying Image Variations
Summary
Overview
Error Handling and Troubleshooting Common Issues
Rate Limiting and Retries
Summary
Integrating the OpenAI Image API in a Real-world Project
Using the Async Client
The OpenAI Model Family
Get Access to the OpenAI APIs
Factors Affecting OpenAI LLM Speed
GPT Models and Their Use Cases
Continuous Model Upgrade
OpenAI Tokenizer
OpenAI Consumption-based Pricing
For Further Learning
Demo Explore OpenAI Pricing
Demo Experiment with the OpenAI Playground
Summary
Demo Address the OpenAI APIs Directly
Overview
Visualizing the Context Window
About Context Windows
Optimize Token Usage
GPT Models and Maximum Token Length
The Tiktoken Python Library
Demo Explore Token Consumption
Summary
Demo Report on Token Consumption
Prompt Engineering Advanced Techniques
Few-shot Prompting Methods
Optimize GPT Query Response Times
System Messages
Demo Explore Tokenization and System Messages
Demo Tour the OpenAI API Docs and Libraries
Demo Generate Python Source Code
Demo Analyze Python Source Code
Summary
Identify AI Threats and OpenAI Best Practices
Configuring and Testing Security Settings
Introduction and Overview
Review of Security Measures and Best Practices
Ethical AI and Content Moderation Principles
Using OpenAI Moderation Tools
Assessing and Optimizing Content Moderation Strategies
Developing and Deploying AI Applications with OpenAI SDK
Designing AI Solutions with Integrated Security and Moderation
Course Recap and Continuous Learning
Monitoring, Updating, and Best Practices
Accessing Whisper
Figuring out How Youll Deploy Whisper
Using Whisper for English Transcriptions
Using Whisper with Other Languages
Customizing Whisper
Integrating Whisper into a Workflow
Introduction
AI, GPT, and OpenAI
REST APIs and JSON
Getting an OpenAI API Key
Demo Calling the API Using Curl, JS, and Python
Explaining Key Terms
Setting up the Python OpenAI Library
OpenAIs API Models
The Chat Completions API
The Audio API
API Pricing
The Images API
Designing the Second Prompt
The Demo Application
Designing the First Prompt
Summary
Building the Application
Error Handling
Calling External Functions
Handling Rate Limits
Choosing a Model
Counting Tokens
The Moderations API
Course Summary