Introduction
Fine-tune your AI: Hands-on practice with Hugging Face models
()
1. Getting Started
How do LLMs generate text?
()
Overview of the Hugging Face platform
()
Accessing GPUs
()
2. Tokenizer
What is tokenization?
()
Inspecting a tokenizer
()
Encoding and decoding text
()
Tokenizer chat template
()
3. Exploring Generation Parameters
First generation with a local model
()
Pipelines
()
Introduction to generation parameters
()
Temperature
()
Top-k
()
Top-p
()
Other generation parameters
()
Hugging Face Inference API
()
4. Decoding Strategies
Greedy search
()
Multinomial sampling
()
Beam search
()
Beam search with multinomial
()
Contrastive search
()
Conclusion
Interesting technical resources
()
NVIDIA NIM API
()
Ex_Files_Generative_AI_Hugging_Face_Models.zip
(30 KB)