LLM course in notebook
The “Large Language Model Course” blew up on Github this week and collected over 9000 stars. It’s a course on
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Machine Learning
Checkpointing for Memory Efficiency
In PyTorch, torch.utils.checkpoint reduces GPU memory use by segmenting large models during training. It stores only one segment at a time in
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Sequential Modeling in Large Vision Models
The authors introduce a visual language model (LVM) without making use of any linguistic data trained on 1.64 billion unlabeled
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8 Microsoft free Github Courses
In this article, we are going to explore 8 different Microsoft Github hosted courses for machine learning and AI. You
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COLMAP-Free 3D Gaussian Splatting
The COLMAP-Free 3D Gaussian Splatting (CF-3DGS) framework efficiently synthesizes photo-realistic views without needing Structure-from-Motion (SfM) pre-processing, significantly reducing training time
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I-JEPA: Help vision models relate Details to the whole image
A novel twist on self-supervised learning aims to improve on earlier methods by helping vision models learn how parts of
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System 2 Attention by Meta
What’s New The research introduces System 2 Attention (S2A) in Large Language Models (LLMs) to address issues with soft attention
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Jina: First Open-Source 8K Text Embedding Model
What’s New?Jina AI has launched ‘jina-embeddings-v2’, the first and only open-source text embedding model that supports an extensive 8K token
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MemGPT: Transforming LLMs into Memory Managers
What’s NewMemGPT expands the memory capacity of language models. It uses a tiered memory system to help the model manage
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PyTorch Lightning tips
PyTorch Lightning is an extension of PyTorch, abstracting complex boilerplate code, enabling more modular and scalable deep learning projects. It
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