The article explores Stable Diffusion and its inpainting variant for interior design. For more detailed information, please refer to the original article on Towards Data Science.

PixelLLM, a new vision-language model introduced by Google Research and UC San Diego, achieves fine-grained localization and alignment by aligning each word of the language model output to a pixel location. It supports diverse vision-language tasks, demonstrating superior results in location-conditioned captioning and referencing localization. Learn more about the project at the provided link.

The text describes the use of a user-friendly tool for creating intricate visualizations. For further details, refer to the original article on Towards Data Science.

Federated Learning (FL) trains models using distributed data. Differential Privacy (DP) provides privacy guarantees. The goal is to train a large neural network language model (NNLM) on compute-constrained devices while preserving privacy using FL and DP. However, DP-noise increases as model size grows, hindering convergence. Partial Embedding Updates (PEU) is proposed to decrease noise by…

Large language models (LLMs) excel at text-based natural language processing tasks through creative prompt engineering and in-context learning. However, their performance on spoken language understanding (SLU) tasks relies heavily on speech-to-text conversion by an off-the-shelf automation speech recognition (ASR) system, constraining their accuracy in this setup.

Introduced in May 2023 and available on iOS 17 in September 2023, Personal Voice is a voice replicator tool designed for individuals at risk of losing their ability to speak, such as those with ALS. It creates a synthesized voice for use in FaceTime, phone calls, assistive communication apps, and in-person conversations, supporting speaking ability.