Category: FAANG

Background Ever since generative AI gained prominence in the AI field, organizations ranging from startups to large enterprises have moved to harness its power by making it an integral part of their applications, solutions, and platforms. While the true potential of generative AI lies in creating new content based on learning from existing content, it …

Read more “Accelerate your generative AI journey with NVIDIA NeMo framework on GKE”

Posted by Mike Schaekermann, Research Scientist, Google Research, and Ivor Horn, Chief Health Equity Officer & Director, Google Core Health equity is a major societal concern worldwide with disparities having many causes. These sources include limitations in access to healthcare, differences in clinical treatment, and even fundamental differences in the diagnostic technology. In dermatology for …

Read more “HEAL: A framework for health equity assessment of machine learning performance”

Posted by Mike Schaekermann, Research Scientist, Google Research, and Ivor Horn, Chief Health Equity Officer & Director, Google Core Health equity is a major societal concern worldwide with disparities having many causes. These sources include limitations in access to healthcare, differences in clinical treatment, and even fundamental differences in the diagnostic technology. In dermatology for …

Read more “HEAL: A framework for health equity assessment of machine learning performance”

In today’s landscape of one-on-one customer interactions for placing orders, the prevailing practice continues to rely on human attendants, even in settings like drive-thru coffee shops and fast-food establishments. This traditional approach poses several challenges: it heavily depends on manual processes, struggles to efficiently scale with increasing customer demands, introduces the potential for human errors, …

Read more “Transform one-on-one customer interactions: Build speech-capable order processing agents with AWS and generative AI”

Speed, convenience, and consistent control over risk selection and decision-making matter in the insurance industry. This is why forward-thinking insurers are investing considerably in AI and digital risk processing technologies that streamline large parts of their risk workflows. These investments help insurers to consistently identify and choose the risks they want to quote, and consequently …

Read more “Generative AI in insurance: How Cytora helps insurers prioritize underwriting risks”

Posted by Yun Zhu and Lijuan Liu, Software Engineers, Google Research Large language model (LLM) advancements have led to a new paradigm that unifies various natural language processing (NLP) tasks within an instruction-following framework. This paradigm is exemplified by recent multi-task LLMs, such as T0, FLAN, and OPT-IML. First, multi-task data is gathered with each …

Read more “Cappy: Outperforming and boosting large multi-task language models with a small scorer”