- 📚 Arian Tam. Deep Learning with PyTorch - Learn Basic Deep Learning with Minimal Code in PyTorch 2.0
- 📚 Stefania Cristina, Mehreen Saeed. Building Transformer Models with Attention Implementing a Neural Machine Translator from Scratch in Keras
- 📚 Daniel Voigt Godoy. Deep Learning with PyTorch - Step by Step A Beginner's Guide
- 🤜 Dataquest Academic Program
Week 01: Course Outline
- Motivation, Syllabus, Calender, other issues.
- Introduciton to OpenAI API
- Recommendation systems: Using OpenAI to build recommendation systems that provide personalized recommendations based on user behavior and preferences.
- Integration with external data sources: Combining OpenAI with external data sources like PDF documents to create more comprehensive and powerful AI models.
- Data visualization: Visualizing the results of OpenAI models using charts, graphs, and other data visualization tools.
- Transcription and named entity recognition: Using OpenAI to transcribe audio and video files, and extract named entities from the resulting text.
- Image generation: Using OpenAI's image generation models to create custom images for a variety of applications.
- Hands on chatGPT API
Week 02: A little more about generative AI
- Hands on Midjourney
Week 03: Project