In deep learning, the quest for efficiency has led to a paradigm shift in how we finetune large-scale models. The research spearheaded by Soufiane Hayou, Nikhil Ghosh, and Bin Yu from the University of California, Berkeley, introduces a significant enhancement to the...

The rapidly developing field of Artificial Intelligence (AI) has seen a major advancement in technologies, including generative AI, deep neural networks, and Large Language Models (LLMs). AI has a wide range of effects on society, including effects on production,...

A significant challenge confronting the deployment of LLMs is their susceptibility to adversarial attacks. These are sophisticated techniques designed to exploit vulnerabilities in the models, potentially leading to the extraction of sensitive data, misdirection,...

Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Extremely low-resource languages...

Artificial intelligence has witnessed a remarkable shift towards integrating multimodality in large language models (LLMs), a development poised to revolutionize how machines understand and interact with the world. This shift is driven by the understanding that the...

Reka addresses the need for advanced language and vision models with their state-of-the-art multimodal and multilingual language model, Reka Flash. It can perform excellently on various benchmarks of LLM even with a smaller model, Reka Edge, with just 7B of trainable...