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Generative AI
Generative AI has the potential to revolutionize business operations, but it comes with challenges like privacy issues, complex integrations, generic models, rigid frameworks, and poor data quality. Despite these obstacles, businesses are eager to harness generative AI for a competitive advantage, only to find that integrating AI technologies into AWS cloud environments can be complex and, in some cases, prohibitively difficult.
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Generative AI
What is a large language model?
A large language model, or LLM, uses mathematical principles to understand the relationship between words and sentences. It can predict what words might come next in a sentence based on prior training data.
What is generative AI? How is it different from regular AI?
Generative AI, or GenAI, refers to a subset of AI that uses prompts to analyze data, detect patterns, and then create new or original content, like text, images, or even computer code.
What is Amazon Q?
Amazon Q is a gen AI assistant that transforms how work gets done. With specialized capabilities for software developers, business intelligence analysts, contact center employees, supply chain analysts, and anyone building with AWS, Amazon Q helps with insights on their data and accelerate their tasks.
What is prompt engineering, and how does it enable GenAI?
A prompt is the starting point for generating AI responses. Simply put, a prompt is just a way of telling the AI what task you want it to perform, like asking it a question or giving it an instruction. The more precise and specific you are with your prompt, the better the AI can understand what you need and give you the correct answer or result. The term “prompt engineering” is about creating clear and useful instructions— or prompts — so the GenAI knows what you want it to do.
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