KodeKloud Notes

Begin with an overview of OpenAI, explore its foundation models and variants, then move into hands-on demos covering account setup, the Playground, libraries & SDKs, and the CLI. We’ll also review the API pricing structure before you complete your first lab exercise by creating an account.

What Is OpenAI?

Definition: A Generative AI Platform as a Service (PaaS)
Core offerings: Language, vision, and embeddings APIs
Key applications: Chatbots, content generation, code completion

The image is a slide titled "Objectives" with a list of topics: "What Is OpenAI?", "Foundation Models", and "Model Variants", each accompanied by an icon.

Foundation Models and Key Variants

Foundation models: Pre-trained large-scale neural networks
Popular variants: GPT-4, GPT-3.5, DALL·E, Embedding models
Use cases: Text generation, summarization, image creation

Hands-On Demos

Get practical experience with:

Setting up an OpenAI account
Exploring the OpenAI Playground
Installing and using OpenAI Libraries & SDKs
Running commands with the OpenAI CLI

The image is a slide titled "Objectives" with a list of topics: OpenAI Libraries and SDKs, OpenAI CLI, and Pricing Structure of the APIs.

API Pricing Considerations

Understanding the OpenAI API pricing structure is essential before making large-scale requests. Review cost per token for each model on the OpenAI Pricing Page and monitor usage to avoid unexpected charges.

Lab Exercise: Account Creation

In your first lab, you’ll:

Register a new OpenAI account
Navigate the dashboard and API keys section
Generate your first API key and test a basic request

Let’s jump in and start leveraging OpenAI’s capabilities!

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