Amazon has long been committed to developing responsible AI, embedding safety, fairness, security, and privacy into its processes. This commitment involves not just the creation of more than 70 tools and mechanisms supporting responsible AI, but also educating employees and the public through thousands of training hours and free courses. In the multi-faceted approach adopted…
Amazon has been leading the way in responsible AI development, embedding safety, fairness, security, privacy, and robustness into its development process to protect customers. It has created over 70 tools and mechanisms that support responsible AI and published over 500 papers on the subject. Additionally, they also deliver training on responsible AI practice to employees…
Organizations are increasingly investing in artificial intelligence (AI) to help employees complete their tasks more efficiently and innovate their operations. Tapping into this potential, Amazon has developed a comprehensive generative AI stack to help organizations build and scale customized AI applications.
At the top of this stack, Amazon has its AI-powered assistant, Amazon Q. Amazon Q…
Generative AI is revolutionizing work environments, promoting innovation and enhancing app user experiences. To actualize its benefits, businesses must invest in generative AI stacks that can scale to their needs, ensuring robust infrastructure and data protection. Amazon has played a key role here, with twice as many generative and machine learning features introduced compared to…
Amazon Bedrock is introducing two new features; Prompt Management and Prompt Flows. These tools are set to expedite the design, testing, and execution of generative Artificial Intelligence (AI) applications. Developers will be able to create more effective solutions, which will also be easier to maintain.
As generative AI gains traction, many organizations are facing challenges in…
Amazon has launched an inference optimization toolkit as a feature of Amazon SageMaker to help speed up generative artificial intelligence (AI) operations. This tool allows businesses to balance cost-effectiveness and productivity with the use of various optimization techniques. It offers up to twice the throughput and reduces costs by up to 50% for AI models…
Anthropic Claude 3.5 Sonnet, a large language model (LLM), tops the S&P AI Benchmarks by Kensho – an AI Innovation Hub for S&P Global. Kensho utilised Amazon Bedrock to test the LLM across a suite of business and financial tasks, emphasising limitations of standard LLM evaluations which often fare poorly in domain-specific tasks.
Kensho's S&P AI…
French non-profit AI research lab Kyutai has launched a real-time voice AI assistant Moshi, outpacing OpenAI in making its technology publicly available. Moshi is built using Helium 7B, a model developed by Kyutai, using a blend of synthetic text and audio data. The voice assistant is capable of recognising and articulating 70 distinct emotions, and…
In a recent research study conducted by psychologists from the University of Southern California, AI language model ChatGPT demonstrated unanticipated comedic abilities. Unlike other AI tasks such as writing code or coherent content, humor is a difficult aspect to quantify due to its subjectivity. The researchers ran two experiments to assess the AI model's capacity…
The rise of generative AI technologies (GenAI) brings a critical decision for businesses - to buy an off-the-shelf solution or develop a custom one. This decision is influenced by several factors that impact the return on investment and overall effectiveness of the solution.
First, the specific use case must be clearly defined. Should the goal…