ChatGPT ve GPT-4: OpenAI Python API ile Üretken Yapay Zeka

Explore the Power of Generative AI with OpenAI Python API

Welcome to the OpenAI Python API course, designed to unlock the potential of generative AI using Python. This course dives deep into the OpenAI API, empowering you to build innovative applications in the rapidly evolving field of artificial intelligence.

You'll gain hands-on experience with cutting-edge models including:

• GPT-3.5 & GPT-4: Master text generation, content creation, and natural language processing.
• GPT-Vision: Analyze and understand images with advanced computer vision capabilities.
• DALL-E: Generate stunning visuals from text prompts and explore image editing techniques.
• Whisper: Convert speech to text (speech-to-text) for various applications.

What You'll Learn:

This project-based course covers a comprehensive range of topics:

1. Introduction to Generative AI:

   • Understand what generative AI is and its diverse applications.
   • Explore the history of generative AI and the evolution of large language models (LLMs).
   • Get acquainted with the GPT family of models.

2. OpenAI Python API Fundamentals:

   • Navigate the OpenAI API and utilize the interactive Playground.
   • Set up your OpenAI Python API development environment.
   • Build your first OpenAI Python API application.

3. Text Generation Applications:

   • Develop applications for article generation and YouTube video summarization.
   • Learn about and implement Function Calling for enhanced API interactions.
   • Create end-to-end text generation applications.

4. Working with Embeddings:

   • Understand embeddings and their role in semantic understanding.
   • Utilize the Tiktoken library for efficient tokenization.
   • Convert text into embeddings and visualize them.
   • Apply embeddings for regression tasks.

5. Fine-Tuning Models:

   • Learn the principles of fine-tuning pre-trained models.
   • Prepare data for fine-tuning.
   • Perform model fine-tuning and evaluate results.
   • Build a fine-tuning project for practical application.

6. Working with Images:

   • Generate images with DALL-E from text descriptions.
   • Edit existing images using DALL-E.
   • Create variations of images with DALL-E.
   • Analyze images using the GPT-4 Vision Model.

7. Working with Audio:

   • Convert text to speech using Text-to-Speech capabilities.
   • Transcribe audio to text using the Whisper model (speech-to-text).

8. Prompt Engineering:

   • Master the art of writing effective prompts.
   • Explore advanced prompt engineering techniques.
   • Learn how to craft clear and concise prompts for optimal results.

9. Bonus Lessons:

   • Understand the Transformer architecture underlying modern AI models.
   • Discover practical ways to use ChatGPT in daily life.
   • Learn how to leverage ChatGPT for data science tasks with examples.

Key Takeaways:

This course goes beyond basic usage; you'll learn to develop AI applications. By the end, you'll have a strong foundation in using the OpenAI API and be equipped to build your own AI solutions.

Ready to dive into the future of artificial intelligence? Enroll now and start building!

We look forward to seeing you in the course. Happy learning!