Generative AI is revolutionizing how businesses operate, interact with customers, and innovate. If you’re embarking on the journey to build a generative AI-powered solution, you might wonder how to navigate the complexities involved from selecting the right models to managing prompts and enforcing data...
This post is based on a technical report written by Kazuki Fujii, who led the Llama 3.3 Swallow model development.
The Institute of Science Tokyo has successfully trained Llama 3.3 Swallow, a 70-billion-parameter large language model (LLM) with enhanced Japanese capabilities, using Amazon SageMaker HyperPod....
This post was co-written with Suzanne Willard and Makoto Uchida from VideoAmp.
In this post, we illustrate how VideoAmp, a media measurement company, worked with the AWS Generative AI Innovation Center (GenAIIC) team to develop a prototype of the VideoAmp Natural Language (NL) Analytics Chatbot...
This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8.
Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient...
This post is co-written by Amar Goel, co-founder and CEO of Bito.
Meticulous code review is a critical step in the software development process, one that helps delivery high-quality code that’s ready for enterprise use. However, it can be a time-consuming process at scale, when...
Adobe Inc. excels in providing a comprehensive suite of creative tools that empower artists, designers, and developers across various digital disciplines. Their product landscape is the backbone of countless creative projects worldwide, ranging from web design and photo editing to vector graphics and video...
