Organizations want to quickly incorporate generative AI into their workloads, but adoption comes with many questions. How do I keep our proprietary data secure? Which large language models (LLMs) will solve my use case? And, how do I ensure my solution scales and provides ROI?

The generative AI landscape continues to grow and evolve, presenting new challenges and opportunities. As organizations seek to integrate generative AI into their workloads, adoption can raise many questions, including security, model evaluation, cost optimization, and more. AWS addresses these challenges with resources to help navigate the fast-paced world of generative AI so you can confidently make informed decisions. 

AWS aims to consolidate the vast amounts of generative AI information in an easy to consume way. Utilize this infographic as a single source of information pertaining to your generative AI questions, including how to:

• Safeguard your organizations privacy by using services that encrypt proprietary data
• Learn strategies to help you choose the right model for your use case
• Improve how generative AI can work for your business
• Ensure scalability and ROI of generative AI solutions
• Gain insights on optimizing generative AI price performance