InformerNow

Modern AI applications demand fast, cost-effective responses from large language models, especially when handling long documents or extended conversations. However, LLM inference can become prohibitively slow and expensive as context length increases, with latency growing exponentially and costs mounting with each interaction. LLM inference requires recalculating attention mechanisms for the previous tokens when generating each…

This post was written with Lokesha Thimmegowda, Muppirala Venkata Krishna Kumar, and Maraka Vishwadev of CBRE. CBRE is the world’s largest commercial real estate services and investment firm. The company serves clients in more than 100 countries and offers services ranging from capital markets and leasing advisory to investment management, project management and facilities management….

This post was written with Martyna Shallenberg and Brode Mccrady from Myriad Genetics. Healthcare organizations face challenges in processing and managing high volumes of complex medical documentation while maintaining quality in patient care. These organizations need solutions to process documents effectively to meet growing demands. Myriad Genetics, a provider of genetic testing and precision medicine solutions…

5. Finding new life in Japan’s hot springs While studying microbes in the hot springs of Japan, Dr. Syun-ichi Urayama’s team discovered unusual viruses. Using AlphaFold to predict their protein structures, the team confirmed they belonged to a widespread, previously unknown family of life, revealing a new branch of molecular evolution. These five stories from…

Over 1,000 Amazon employees have anonymously signed an open letter warning that the company’s allegedly “all-costs-justified, warp-speed approach to AI development” could cause “staggering damage to democracy, to our jobs, and to the earth,” an internal advocacy group announced on Wednesday. Four members of Amazon Employees for Climate Justice tell WIRED that they began asking…