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Dec 24, 2023 · 4 min read · TL;DR: Active retrieval augmented generation system checks the quality of each sentence before outputting them. If the quality is questionable, it will retrieve additional documents and re-generate that sentence. Introduction The retrieval method su...
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Dec 18, 2023 · 3 min read · import mlx.core as mx import mlx.nn as nn import mlx.optimizers as optim import mnist device = mx.gpu mx.set_default_device(device) mx.default_device() # Device(gpu, 0) Dataset MNIST dataset contains 60,000 training samples of 28x28 images. Thes...
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Jul 31, 2023 · 3 min read · Introduction In recent years, the advancement of natural language processing (NLP) models has revolutionized various language-related tasks, including sentence scoring and retrieval. Two prominent methods for scoring pairs of sentences are cross-enco...
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Jul 25, 2023 · 2 min read · Introduction The introduction of LLaMA, a large language model, aims to address the limited availability of open-sourced language models. Unlike many existing models, LLaMA is trained on open-source data, making it accessible for commercial use by an...
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Jul 10, 2023 · 3 min read · Introduction The goal of this work is not to surpass the current state-of-the-art (SOTA) in image classification, but rather to advance the capabilities of image transformers. While Vision Transformer (ViT) introduced the idea of using transformers f...
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