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Part 2 of the series on strategic data analysisThis is part of a series on Strategic Data Analysis.Strategic Data Analysis (Part 1)Strategic Data Analysis for Descriptive…
With PyTorch codeIn the rapidly evolving field of natural language processing, Transformers have emerged as dominant models, demonstrating remarkable performance across a wide range of sequence…
LLMs have proven valuable for reasoning and decision-making tasks. They excel in breaking down complex problems into sequential steps, but their performance can be improved through…
Quantization-aware fine-tuningIllustration by the author — Made with images from Pixabay (1,2)State-of-the-art large language models (LLMs) are pre-trained with billions of parameters. While pre-trained LLMs can…
Speech-driven expression animation, a complex problem at the intersection of computer graphics and artificial intelligence, involves the generation of realistic facial animations and head poses based…
Image by Author Rust Burn is a new deep learning framework written entirely in the Rust programming language. The motivation behind creating a new…
A key aspect of generative AI is audio generation. In recent years, the popularity of generative AI has led to increasingly diverse and emerging needs in…
Image by Author A few months ago, we learnt about Falcon LLM, which was founded by the Technology Innovation Institute (TII), a company part of…
Image by Author In response to changing technological, organizational, and business needs, data architecture has evolved over the last decade or so. But has this…
Diffusion models have revolutionized text-to-image synthesis, unlocking new possibilities in classical machine-learning tasks. Yet, effectively harnessing their perceptual knowledge, especially in vision tasks, remains challenging. Researchers…