Prompt Engineering and AWS
Dr Siddhartha Ghosh
Director - Office of Industry Affairs | Professor in Computer Science & Artificial Intelligence | Researcher | Campus Placements I Generative AI I Prompt Engineering | Academic Administrator
Prompt engineering is a burgeoning field in the realm of artificial intelligence (AI), particularly within the scope of generative AI. It involves crafting and refining input prompts to guide AI models towards generating desired outputs. AWS has embraced this discipline, recognizing its pivotal role in enhancing the interaction between end-users and AI systems.
AWS introduced prompt engineering as a structured approach to interact with generative AI solutions1. This process entails selecting the most effective formats, phrases, words, and symbols to steer AI in a meaningful direction. AWS prompt engineers employ creativity and iterative testing to build a library of input texts that ensure the AI behaves as anticipated. The significance of prompt engineering surged with the advent of generative AI, as it serves as a bridge between users and the large language models (LLMs), facilitating the creation of scripts and templates that users can customize for optimal results2.
Comparatively, Microsoft's approach to prompt engineering, particularly with Azure OpenAI services, emphasizes the importance of formatting input data to suit specific API requirements. Microsoft delineates two distinct APIs: the Chat Completion API and the Completion API, each necessitating different prompt structures. The Chat Completion API, supporting models like GPT-3.5-Turbo and GPT-4, requires input formatted as a chat-like transcript, while the Completion API is more flexible11.
To master AWS prompt engineering, familiarity with a suite of software tools is essential. Amazon CodeWhisperer, for instance, is a prominent tool that aids developers in generating code through AI-powered recommendations based on natural language comments?. Additionally, understanding the integration of LLMs with AWS services and the use of AWS-specific tools like Claude and PartyRock can significantly enhance one's proficiency in prompt engineering?. These tools enable developers to build AI applications without coding, simply by crafting effective prompts.
In conclusion, prompt engineering is a critical skill for developers working with cloud computing and AI. AWS's structured approach to prompt engineering, coupled with Microsoft's format-specific APIs, highlights the diverse methodologies in this field. Aspiring prompt engineers should acquaint themselves with the relevant AWS tools to harness the full potential of AI in cloud computing.
The following links will help one to master Prompt Engineering over AWS further.
(1) What is Prompt Engineering? - AI Prompt Engineering Explained - AWS. https://aws.amazon.com/what-is/prompt-engineering/.
(2) What is prompt engineering? - Amazon Bedrock. https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-prompt-engineering.html.
(3) Prompt engineering techniques - learn.microsoft.com. https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering.
(4) Best Practices for Prompt Engineering with Amazon CodeWhisperer | AWS .... https://aws.amazon.com/blogs/devops/best-practices-for-prompt-engineering-with-amazon-codewhisperer/.
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(5) Master Prompt Engineering: Build AI apps with Claude & PartyRock. https://community.aws/content/2bpGEn7TeXH4XkL0Z4j4eSumK0v/master-prompt-engineering-elevate-ai-with-claude-partyrock.
(6) Self-paced digital training on AWS - AWS Skill Builder. https://explore.skillbuilder.aws/learn/course/external/view/elearning/17763/foundations-of-prompt-engineering.
(7) Optimal Approaches to Prompt Engineering with Amazon CodeWhisperer. https://www.cloudthat.com/resources/blog/optimal-approaches-to-prompt-engineering-with-amazon-codewhisperer.
(8) Prompt Engineering with ChatGPT in Data Processing on Cloud (AWS and .... https://medium.com/@ramakotipatruni/prompt-engineering-with-chatgpt-in-data-processing-on-cloud-aws-and-snowflake-for-developing-3c262606e2f0.
(9) Quick Start to Prompt Engineering for Software Developers. https://www.globalknowledge.com/us-en/course/194387/quick-start-to-prompt-engineering-for-software-developers/.
(10) Prompt Engineering Tools | Learn Prompt Engineering. https://promptdev.ai/docs/tooling/tools.
(11) The Complete Prompt Engineering for AI Bootcamp (2024) | Udemy. https://www.udemy.com/course/prompt-engineering-for-ai/.
(12) AWS to Azure services comparison - Azure Architecture Center. https://learn.microsoft.com/en-us/azure/architecture/aws-professional/services.
(13) What's the Difference Between AWS vs. Azure vs. Google Cloud?. https://www.coursera.org/articles/aws-vs-azure-vs-google-cloud.
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1 年prompt engineering is crucial to leverage GenAI. The pace of prompt engineering acceleration is very fast and keeping up with it is quite interesting.