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@@ -7,13 +7,12 @@ A list of notebooks and articles related to large language models.
| Notebook | Description | Article | Notebook |
|---------------------------------------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------|
| Decoding Strategies in Large Language Models | A guide to text generation from beam search to nucleus sampling | [Article](https://mlabonne.github.io/blog/posts/2022-06-07-Decoding_strategies.html) |
|
+| Introduction to Weight Quantization | Large language model optimization using 8-bit quantization. | [Article](https://mlabonne.github.io/blog/posts/Introduction_to_Weight_Quantization.html) |
|
| Visualizing GPT-2's Loss Landscape | 3D plot of the loss landscape based on weight pertubations. | [Tweet](https://twitter.com/maximelabonne/status/1667618081844219904) |
|
| Improve ChatGPT with Knowledge Graphs | Augment ChatGPT's answers with knowledge graphs. | [Article](https://mlabonne.github.io/blog/posts/Article_Improve_ChatGPT_with_Knowledge_Graphs.html) |
|
| Create a 4-bit GPT-2 model using AutoGPTQ | Quick notebook to quantize LLMs and upload them to the HF Hub. | [Tweet](https://twitter.com/maximelabonne/status/1672205530717122561) |
|
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## Roadmap
A step-by-step guide on how to get into large language models with learning resources.