Direct Preference Optimization instead of RLHF
Can you still do cutting-edge research on LLM if you do not have massive compute resources? RLHF became a key
Read Moreinvolve a code
Can you still do cutting-edge research on LLM if you do not have massive compute resources? RLHF became a key
Read MoreThe “Large Language Model Course” blew up on Github this week and collected over 9000 stars. It’s a course on
Read MoreIn PyTorch, torch.utils.checkpoint reduces GPU memory use by segmenting large models during training. It stores only one segment at a time in
Read MoreThe authors introduce a visual language model (LVM) without making use of any linguistic data trained on 1.64 billion unlabeled
Read MoreIn this article, we are going to explore 8 different Microsoft Github hosted courses for machine learning and AI. You
Read MoreA novel twist on self-supervised learning aims to improve on earlier methods by helping vision models learn how parts of
Read MoreWhat’s New The research introduces System 2 Attention (S2A) in Large Language Models (LLMs) to address issues with soft attention
Read MoreWhat’s New?Jina AI has launched ‘jina-embeddings-v2’, the first and only open-source text embedding model that supports an extensive 8K token
Read MoreWhat’s NewMemGPT expands the memory capacity of language models. It uses a tiered memory system to help the model manage
Read MorePyTorch Lightning is an extension of PyTorch, abstracting complex boilerplate code, enabling more modular and scalable deep learning projects. It
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