Browsing: ML News
The widespread adoption of large language models (LLMs) has ushered in significant advancements across fields such as conversational AI, content generation, and on-device applications. However, the…
Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to…
In recent years, text-to-speech (TTS) technology has made significant strides, yet numerous challenges still remain. Autoregressive (AR) systems, while offering diverse prosody, tend to suffer from…
Messenger RNA (mRNA) plays a crucial role in protein synthesis, translating genetic information into proteins via a process that involves sequences of nucleotides called codons. However,…
Data Selection for domain-specific art is an intricate craft, especially if we want to get the desired results from Language Models. Until now, researchers have focused…
LLMWare.ai, a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the largest collections…
Probabilistic diffusion models have become essential for generating complex data structures such as images & videos. These models transform random noise into structured data, achieving high…
Meta has recently released NotebookLlama, an open version of Google’s NotebookLM that empowers researchers and developers with accessible, scalable solutions for interactive data analysis and documentation.…
Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. However, the stored knowledge can become…
Generative artificial intelligence (AI) models are designed to create realistic, high-quality data, such as images, audio, and video, based on patterns in large datasets. These models…