deep-learning-techniques
Here are 3 public repositories matching this topic...
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
- Updated
Apr 12, 2024 - Jupyter Notebook
A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.
- Updated
May 21, 2020
The course equips you with the skills to deploy Large Language Model (LLM)-based applications into production using serverless technology with Amazon Bedrock.
- Updated
Feb 27, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to thedeep-learning-techniques topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thedeep-learning-techniques topic, visit your repo's landing page and select "manage topics."