Favorite Google research teams spoke with high school students, parents and teachers to understand how AI can help support learning. View Original Source (blog.google/technology/ai/) Here.
Favorite Google announces the Coalition for Secure AI (CoSAI) alongside founding member organizations. View Original Source (blog.google/technology/ai/) Here.
Favorite We’re partnering with Team USA and NBCUniversal to showcase our features in NBCU’s coverage of the Olympics and Paralympics. View Original Source (blog.google/technology/ai/) Here.
Favorite As a customer, you rely on Amazon Web Services (AWS) expertise to be available and understand your specific environment and operations. Today, you might implement manual processes to summarize lessons learned, obtain recommendations, or expedite the resolution of an incident. This can be time consuming, inconsistent, and not readily
Favorite AWS announced the availability of the Cohere Command R fine-tuning model on Amazon SageMaker. This latest addition to the SageMaker suite of machine learning (ML) capabilities empowers enterprises to harness the power of large language models (LLMs) and unlock their full potential for a wide range of applications. Cohere
Favorite As digital commerce expands, fraud detection has become critical in protecting businesses and consumers engaging in online transactions. Implementing machine learning (ML) algorithms enables real-time analysis of high-volume transactional data to rapidly identify fraudulent activity. This advanced capability helps mitigate financial risks and safeguard customer privacy within expanding digital
Favorite Artists in Residence at the Google Arts & Culture Lab are developing playful tools to inspire creativity with gen AI – discover how their latest experiments can be a sou… View Original Source (blog.google/technology/ai/) Here.
Favorite Your multi-account strategy is the core of your foundational environment on AWS. Design decisions around your multi-account environment are critical for operating securely at scale. Grouping your workloads strategically into multiple AWS accounts enables you to apply different controls across workloads, track cost and usage, reduce the impact of
Favorite In today’s rapidly evolving landscape of artificial intelligence (AI), training large language models (LLMs) poses significant challenges. These models often require enormous computational resources and sophisticated infrastructure to handle the vast amounts of data and complex algorithms involved. Without a structured framework, the process can become prohibitively time-consuming, costly,