subjects 
Analytics Vidhya
MAY 26, 2023
Before you decide […] The post Data Science Subjects and Syllabus [Latest Topics Included] appeared first on Analytics Vidhya. The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology.
Marktechpost
MARCH 15, 2024
Among these advancements, subject-driven image generation is a particularly intriguing domain. This technique allows for the creating of highly personalized images of specific subjects, such as cherished pets or beloved objects, from a minimal set of examples.
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Marktechpost
DECEMBER 1, 2023
Researchers from Google Research and UIUC propose ZipLoRA, which addresses the issue of limited control over personalized creations in text-to-image diffusion models by introducing a new method that merges independently trained style and subject Linearly Recurrent Attentions (LoRAs).
Marktechpost
FEBRUARY 28, 2024
Researchers continually seek to enhance their capabilities, particularly in understanding and interpreting complex, subjective, and often conflicting information. Given the contentious nature of this subject, with evidence spanning from authoritative health studies to anecdotal claims, identifying credible sources becomes paramount.
Marktechpost
JULY 22, 2023
Creating these fictional scenarios is particularly challenging, as it requires combining instances of particular subjects (such as objects or animals) within fresh contexts. The goal is to expand the model’s language-vision dictionary to establish associations between new words and specific subjects users intend to generate.
Marktechpost
MARCH 30, 2024
Subjective evaluations, including AlpacaEval, MTBench, CompassArena, and AlignBench, further highlighted InternLM2’s exceptional alignment with human preferences. Furthermore, InternLM2 showcased its proficiency in tool utilization, a crucial aspect for tackling complex, real-world problems.
Marktechpost
DECEMBER 7, 2023
To address this gap, the authors of this paper (researchers from Show Lab, National University of Singapore, and GenAI, Meta) have introduced VideoSwap, a framework that uses semantic point correspondences instead of dense ones to align the subject’s motion trajectory and alter its shape. Check out the Paper.
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