A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.
-
Updated
May 21, 2020
A curated list of awesome deep learning techniques for deep neural networks training, testing, optimization, regularization etc.
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.
The course equips you with the skills to deploy Large Language Model (LLM)-based applications into production using serverless technology with Amazon Bedrock.
Add a description, image, and links to the deep-learning-techniques topic page so that developers can more easily learn about it.
To associate your repository with the deep-learning-techniques topic, visit your repo's landing page and select "manage topics."