Abstract: The rapid increase of digital information in India has generated an increasing demand for effective techniques to synthesize domain-specific literature in natural languages. In this research ...
Despite advances, AI models continue to be geared towards the needs of English-speaking people in high-income countries.
Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI ...
The legal field is marked by intricate, extensive papers that need considerable time and knowledge for interpretation. This work offers a comparative analysis of conventional extractive and ...
Diffusion Embedder is a simple recipe to train text encoders directly from diffusion LMs without the need of any transformation step. Diffusion LMs naturally possess bidirectional attention, which is ...
Maya Research has released Maya1, a 3B parameter text to speech model that turns text plus a short description into controllable, expressive speech while running in real time on a single GPU. Maya1 ...
The final, formatted version of the article will be published soon. Extractive and abstractive summarization techniques have recently gained significant attention. Each has its own limitations that ...
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