OpenAI GPT For Python Developers

The guide is example-driven and provides a lot of practical examples to help the
reader understand the concepts and apply them to real-life scenarios to solve real-world problems.
Build applications such as:
• A fine-tuned medical chatbot assistant• An intelligent coffee recommendation system• An intelligent conversational system with memory and context
• An AI voice assistant like Alexa but smarter
• A Chatbot assistant to help with Linux commands
• A semantic search engine
• A news category prediction system
• An image recognition intelligent system (image to text)
• An image generator (text to image)
You will be able to:
• Understand the different models available, and how and when to use each one.• Generate human-like text for various purposes, such as answering questions, creating content,and other creative uses.
• Control the creativity of GPT models and adopt the best practices to generate high-quality text.
• Transform and edit the text to perform translation, formatting, and other useful tasks.
• Optimize the performance of GPT models using the various parameters and options
• Stem, lemmatize, and reduce your bills when using the API
• Understand Context Stuffing, chaining, and practice using advanced techniques
• Understand text embedding and how companies such as Tesla and Notion are using it
• Understand and implement semantic search and other advanced tools and concepts.
• Creating prediction algorithms and zero-shot techniques and evaluating their accuracy
• Understand, practice, and improve few-shot learning.• Understand fine-tuning and leveraging its power to create your own models.
• Understand and use the best practices to create your own models.
• Practice training and classification techniques using GPT.
• Create advanced fine-tuned models.
• Use OpenAI Whisper and other tools to create intelligent voice assistants.