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LLM Bootcamp
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FSDL 2022
FSDL 2022
Lecture 1: Course Vision and When to Use ML
Lab Overview
Lecture 2: Development Infrastructure & Tooling
Lab 4: Experiment Management
Lecture 3: Troubleshooting & Testing
Lab 5: Troubleshooting & Testing
Lecture 4: Data Management
Lab 6: Data Annotation
Lecture 5: Deployment
Lab 7: Web Deployment
Lecture 6: Continual Learning
Lab 8: Model Monitoring
Lecture 7: Foundation Models
Lecture 8: ML Teams and Project Management
Lecture 9: Ethics
Project Showcase
Course Announcement
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FSDL 2021
FSDL 2021
Synchronous Online Course
Course Projects Showcase
Lecture 1: DL Fundamentals
Lab 1: Setup and Introduction
Notebook: Coding a neural net
Lecture 2A: CNNs
Lecture 2B: Computer Vision
Lab 2: CNNs and Synthetic Data
Lecture 3: RNNs
Lab 3: RNNs
Lecture 4: Transformers
Lab 4: Transformers
Lecture 5: ML Projects
Lecture 6: MLOps Infrastructure & Tooling
Lab 5: Experiment Management
Lecture 7: Troubleshooting Deep Neural Networks
Lecture 8: Data Management
Lab 6: Data Labeling
Lecture 9: AI Ethics
Lab 7: Paragraph Recognition
Lecture 10: Testing & Explainability
Lab 8: Testing & CI
Lecture 11: Deployment & Monitoring
Lab 9: Web Deployment
Lecture 12: Research Directions
Lecture 13: ML Teams and Startups
Panel Discussion: Do I need a PhD to work in ML?
FSDL 2021 (Berkeley)
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FSDL 2019 (Online)
FSDL 2019 (Bootcamp)
FSDL 2018 (Bootcamp)
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Cloud GPUs
Learn to Spell: Prompt Engineering
Lecture by
Charles Frye
. Published May 9, 2023.
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