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Large Language Models: Foundation Models from the Ground Up Channel : |
LLM2 Foundation Models from the Ground Up | Primer Channel : Databricks |
Building LLMs from the Ground Up: A 3-hour Coding Workshop Channel : Sebastian Raschka |
How Large Language Models Work Channel : IBM Technology |
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) Channel : Stanford Online |
LLM2 Module 1 - Transformers | 1.6 Base/Foundation Models Channel : Databricks |
Create a Large Language Model from Scratch with Python – Tutorial Channel : freeCodeCamp.org |
Transformers (how LLMs work) explained visually | DL5 Channel : 3Blue1Brown |
Deep Learning Barcelona Symposium - DLBCN 2024 Channel : Deep Learning Barcelona |
Foundation Models: An Explainer for Non-Experts Channel : Stanford HAI |
LLM2 Module 1 - Transformers | 1.8 Notebook Channel : Databricks |
Let's build GPT: from scratch, in code, spelled out. Channel : Andrej Karpathy |
Introduction to large language models Channel : Google Cloud Tech |
Foundation Models vs. Large Language Models Explained Channel : Moveworks |
LLM2 Module 3 - Deployment and Hardware | 3.2 Module Overview Channel : Databricks |
Machine Learning vs. Deep Learning vs. Foundation Models Channel : IBM Technology |
LLM2 Module 1 - Transformers | 1.1 Introduction Channel : Databricks |
Exploring foundation models - Session 1 Channel : The Alan Turing Institute |
CVPR #18569 - Trustworthy AI in the Era of Foundation Models Channel : ComputerVisionFoundation Videos |
LLM2 Module 2 - Efficient Fine-Tuning | 2.1 Introduction Channel : Databricks |