Titan Image Generator was trained on diverse datasets to improve accuracy and inclusivity, while building in safeguards against generating toxic or biased content.
Amazon Q connects to a company's existing data sources, code repositories, and systems to gain an understanding of its business. It can then synthesize this information to provide employees with tailored, relevant recommendations and actions.
A centerpiece of the announcement is AWS becoming the first major cloud provider to offer NVIDIA's GH200 Grace Hopper Superchips.
The new Graviton4 and Trainium2 are tailored to address the growing demands of a diverse range of cloud workloads, including machine learning (ML) training and generative AI applications.
The new service addresses the inherent vulnerabilities in traditional authentication methods like badges, fobs, PINs, and passwords, which are often susceptible to loss, theft, or duplication.
By leveraging rapid advances in generative AI, Amazon Lex now offers simpler bot building along with more capable, human-like conversational experiences.
The ability to squeeze generative AI into the recommendation process promises more custom-fit, engaging experiences that feel like they were created just for you.
Transcribe now promises 20-50% increases in accuracy for most languages and even bigger jumps of 30-70% for challenging telephony speech.
The goal is to remove cost as a barrier to accessing critical AI skills and to help those with a desire to learn about AI and benefit from the tremendous opportunity ahead.
They provide a flexible way for organizations to gain access to NVIDIA GPU clusters for their critical AI projects without long-term commitments.
The new image generation functionality enables advertisers to transform standard product images into vivid, lifestyle scenes simply by selecting a product and clicking "Generate".
The automated inspections help Amazon's delivery partners identify and address defects early, preventing more serious breakdowns or accidents. They also provide fleet analytics to optimize maintenance and replacement.
The companies will collaborate to infuse generative AI into existing solutions for contact centers, platform services, and supply chain operations.
By aligning with Anthropic, AWS aims to showcase the capabilities of its silicon in generative models and convince companies its homegrown chips are best suited for the future of AI.
The initiative is a top priority for Amazon's senior leadership, including CEO Andy Jassy, who see enormous potential in using AI to revolutionize the way people shop online.
Anthropic will leverage AWS's computing infrastructure and specialized chips to build, train and deploy its models. AWS will be their primary cloud provider.
With Map View, users can create a digital floor plan of their home right within the Alexa app. The visual map puts connected devices into a real-world context that feels intuitive.
While it shares some capabilities with chatbots like ChatGPT, Alexa's model focuses on skills like seamless smart home device control and serving up real-time information—all conversationally.
Sellers need only provide a brief product summary, and Amazon's algorithms will produce optimized titles, bullet points, and descriptive listings ready for review.
In spite of AWS's predominance in cloud infrastructure services, accounting for 40% of global spending, its hiccups in AI development could become increasingly costly.
This new initiative aims to distill the essence of multiple reviews into concise, easily digestible highlights presented directly on the product page.
The new EC2 P5 instances are particularly well-suited for training and running inference for increasingly complex LLMs and computer vision models.
It provides an integrated, HIPAA-eligible, and user-friendly platform that streamlines the clinical documentation process, thereby allowing healthcare professionals to devote more time to patient care.
The updates include access to latest version of foundation models, a new model provider, and a capability to automate complex workflows.