Summarize:
Sure! Please provide the content you would like me to summarize, and I’ll be happy to help.
Creating an LLM from the Ground Up: Developing a GPT Model for Text Generation
#Build #LLM #Scratch #Implementing #GPT #model #Scratch #Generate #Text
Links to the book:
– https://amzn.to/4fqvn0D (Amazon)
– https://mng.bz/M96o (Manning)
Link to the GitHub repository: https://github.com/rasbt/LLMs-from-scratch
This is a supplementary video explaining how to code an LLM architecture from scratch.
00:00 4.1 Coding an LLM architecture
13:52 4.2 Normalizing activations withlayer normalization
36:02 4.3 Implementing a feed forward network with GELU activations
52:16 4.4 Adding shortcut connections
1:03:18 4.5 Connecting attention and linear layers in a transformer block
1:15:13 4.6 Coding the GPT model
You can find additional bonus materials on GitHub, for example converting the GPT-2 architecture into Llama 2 and Llama 3: https://github.com/rasbt/LLMs-from-scratch/tree/main/ch05/07_gpt_to_llama
Click here to learn more about this YouTuber
