About this Series
Do you remember a fairy tale? How a hen laid an egg, a golden one? So the grandfather could not break it, the grandmother could not break it, but a tiny mouse did it. Microsoft wanted to deal with information, not applications, and they put the document name up front and “Microsoft Word” next. Google wanted to “democratize AI” with TensorFlow, but Facebook took the lead away with PyTorch.
Now, a mouse (not so tiny, 2B valuation), Hugging Face, has taken the lead away from all and is used by 2,000 large companies. How did they do it? What do they give you for your AI implementations? Come to our information-packed webinar!
Prerequisites
- A background in programming is highly recommended.
- Willingness to help others, and flexible with our schedules
Topics Covered
- Introduction to Deep Learning – (Dec 9)
- Fine-tuning a pre-trained model -(Dec 16)
- Computer Vision CNN – (Jan 6)
- Sharing models and tokenizers – (Jan 13)
- Recurrent Neural Networks RNN – (Jan 20)
- Main NLP Tasks – (Jan 27)
- Transformers- (Feb 03)
Register
Class Recording
Session 1 – Hugging Face
Session 2 – Hugging Face
Session 3 – Transformer pipelines
Session 4 – How to investigate other ready models
Session 5: ChatGPT, GPT3, Summarization
Session 6: Pipelines, preparing the data, and fine-tuning the model
Session 7: Fine-tuning the models