Blog Series

llms-course

8 posts in this series

1. Syllabus: Fractal-U Course on LLMs
2. Lesson 1: A Python Environment for LLMs
3. Lesson 2: Blogging with nbdev
4. Lesson 3: HuggingFace NLP Models
5. Lesson 4: Quantized LLMs with llama.cpp
6. Lesson 5: Processing text documents for LLMs
7. Preparing Text Data for LLMs
8. Fine-Tuning LLMs

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guidance-expts

9 posts in this series

1. Intro to normalizing and scheduling Classifier-free Guidance
2. Stable Diffusion v2 with dynamic Classifier-free Guidance
3. Dynamic Classifier-free Guidance Pt. 1
4. Dynamic Classifier-free Guidance Pt. 2
5. Classifier-free Guidance with Cosine Schedules Pt. 3
6. Classifier-free Guidance with Cosine Schedules Pt. 4
7. Classifier-free Guidance with Cosine Schedules Pt. 5
8. Classifier-free Guidance with Cosine Schedules Pt. 6
9. Classifier-free Guidance with Cosine Schedules Pt. 7

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