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This course covers creating effective prompts for large language models like ChatGPT and developing AI-enabled applications using the OpenAI API.

Beau Carnes - ChatGPT and the OpenAI API.png

chatgptcloneopenai3.tar.gz

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fine_tuned_model

openai

vueapp

openai_import

OpenAI has revolutionized how developers approach natural language processing, creative content generation, and AI-driven solutions across various industries.

You will begin the course with an introduction to OpenAI and its most famous GPT-based chatbot, ChatGPT. After learning the fundamentals of prompt engineering, you’ll progress to advanced techniques for writing prompts, explore practical applications of ChatGPT, and gain hands-on experience with the OpenAI API. The course will guide you through advanced model usage, including fine-tuning and embeddings, and provide insights into troubleshooting and best practices.

By the end of this course, you will be equipped with the skills to leverage the OpenAI API for innovative applications, from building AI-driven chatbots to implementing AI solutions in real-world projects. This knowledge will enhance your ability to create cutting-edge AI applications and advance your career in the rapidly evolving field of artificial intelligence.

Mastering OpenAI API and ChatGPT for Innovative Applications

To tailor them to specific tasks and domains

To increase the general knowledge of the models

What is the purpose of fine-tuning pre-trained language models?

What is the purpose of fine-tuning pre-trained language models?

Before opting for fine-tuning a GPT model, what is a strategy that you can try first?

Before opting for fine-tuning a GPT model, what is a strategy that you can try first?

A fine-tuned model is used as a general-purpose chatbot across various businesses without any customization.

A model fine-tuned for sentiment analysis is used to generate weather forecasts.

A healthcare company uses a model fine-tuned on medical dialogues to improve the accuracy of its health advice chatbot.

A model fine-tuned for code generation is used to train another model for language translation.

Which scenario illustrates the most effective application of a fine-tuned language model?

Which scenario illustrates the most effective application of a fine-tuned language model?

To ensure that the model is learning correctly and generalizing well to new, unseen data.

To confirm that the model does not exceed the token limit.

To simplify the process of data cleaning and formatting.

To adhere to ethical standards in machine learning.

What is the purpose of splitting a dataset into training, validation, and test sets when fine-tuning a model?

What is the purpose of splitting a dataset into training, validation, and test sets when fine-tuning a model?

```
[
{"role": "system", "content": "This is a sarcastic assistant."},
{"role": "user", "content": "What's the weather like?"},
{"role": "assistant", "content": "Oh, just look outside!"}
]
```

```
{
    "messages": [
        {"system": "This is a sarcastic assistant."},
       {"prompt": "What's the weather like?"},
        {"completion": "Oh, just look outside!"}
    ]
}
```

```
{
    "messages": [
        {"prompt": "What's the weather like?"},
        {"completion": "Oh, just look outside!"}
    ]
}
```

```
{
    "messages": [
        {"role": "system", "content": "This is a sarcastic assistant."},
        {"role": "user", "content": "What's the weather like?"},
        {"role": "assistant", "content": "Oh, just look outside!"}
    ]
}
```

Which fine-tuning data is formatted correctly?

Which fine-tuning data is formatted correctly?

`openai.Model.get("ft:gpt-3.5-turbo:acemeco:suffix:abc123")`

What command is used to retrieve the state of a specific fine-tuning job?

What command is used to retrieve the state of a specific fine-tuning job?

What is the minimum recommended number of examples for robust fine-tuning of a model?

What is the minimum recommended number of examples for robust fine-tuning of a model?

To retrieve the status of a fine-tuning job

What is the role of the `openai.File.create()` function in the code?

What is the role of the <code>openai.File.create()</code> function in the code?

Check your understanding of fine-tuning models.

Introduction to OpenAI and ChatGPT

Crafting Prompts for ChatGPT

Practical Applications of ChatGPT

Advanced ChatGPT Usage

ChatGPT Assessment

Introduction to OpenAI API and Its Components

OpenAI Models

Generating Text Completions with OpenAI API

Advanced Model Usage: Fine-Tuning Models

Exploring Embeddings with the OpenAI API

Troubleshooting, Limitations, and Best Practices with OpenAI API

Real-World Applications of OpenAI API

Wrapping Up

Quiz on Fine-Tuning Models