{"id":196480,"date":"2024-11-01T08:52:11","date_gmt":"2024-11-01T13:52:11","guid":{"rendered":"https:\/\/itblog.ldlnet.net\/?p=196480"},"modified":"2024-12-24T13:45:00","modified_gmt":"2024-12-24T18:45:00","slug":"ai-prompting-styles-series","status":"publish","type":"post","link":"https:\/\/itblog.ldlnet.net\/index.php\/2024\/11\/01\/ai-prompting-styles-series\/","title":{"rendered":"AI Prompting Style Series"},"content":{"rendered":"\n

The next set of links are to pages of different AI Prompting Styles that supplement my presentation on AI Styles and Enhancing AI User Adoption<\/em><\/strong>. I wanted to provide some extra examples of the styles based on one advanced prompt that I generated and used each style for to help trainers and learners alike be able to learn and ingest the different prompting styles so that they have be best chance of integrating their AI experience with their goals and direction for the AI interaction with them.<\/p>\n\n\n\n

The same prompt will be used for each prompting example, and I will showcase how each style can be used from the original prompt to enhance the learner experience so they can find the style that works for them.<\/p>\n\n\n\n

The Prompt<\/h3>\n\n\n\n

\u201cI am designing a website and want to ensure a seamless user experience. Can you suggest 4 error prevention techniques that I should integrate into my design? Specifically, I want to prevent errors related to website loading latency and ensure that users have a clear understanding of the error and why it is happening. Please provide examples of how these techniques have been successfully implemented in other designs to improve user satisfaction.\u201d <\/em><\/strong><\/p>\n\n\n\n

Links to the Styles<\/h3>\n\n\n\n

AI Prompting Style Series: Chain-of-Thought Prompting (CoT) \u2013 IT Blog<\/a>
AI Prompting Style Series: Tree-of-Thought Prompting (ToT) \u2013 IT Blog<\/a>
AI Prompting Style Series: Debate Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Maieutic Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Complexity-Based Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Generated Knowledge Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Least-To-Most Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Self-Refine Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Directional-Stimulus Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: ReAct Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Instruction-Based Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Multi-Modal Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Role-Play Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Zero-Shot & Few-Shot Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Contrastive Prompting \u2013 IT Blog<\/a>
AI Prompting Style Series: Persona-Based Prompting \u2013 IT Blog<\/a><\/p>\n\n\n\n

The Event<\/h3>\n\n\n\n
\"MCT<\/figure>
\n

My next presentation will be at the Microsoft Ignite MCT Day 0 Event sponsored by Microsoft and will feature eight of these styles and their application to helping trainers assist their users in enabling AI in their environments with use cases and examples.<\/p>\n<\/div><\/div>\n\n\n\n

\n\n\n\n

About Lance Lingerfelt<\/h2>\n\n\n\n
\"Profile<\/figure>
\n

Lance Lingerfelt is an M365 Specialist and Evangelist with over 20 years of experience in the Information Technology field. Having worked in enterprise environments to small businesses, he is able to adapt and provide the best IT Training and Consultation possible. With a focus on AI, the M365 Stack, and Healthcare, he continues to give back to the community with training, public speaking events, and this blog.<\/p>\n<\/div><\/div>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

The next set of links are to pages of different AI Prompting Styles that supplement my presentation on AI Styles and Enhancing<\/p>\n

Read More<\/a><\/p>\n","protected":false},"author":1,"featured_media":196372,"comment_status":"closed","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"footnotes":""},"categories":[332,353,333,365,2,338,334,404],"tags":[336,397,406,354,335,342,407],"class_list":["post-196480","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-chatgpt-ai","category-copilot","category-dall-e","category-general","category-google-gemini","category-open-ai","category-prompt-styles","tag-ai","tag-ai-prompt","tag-ai-style","tag-chatgpt","tag-copilot","tag-google-gemini","tag-prompt-engineering","odd"],"_links":{"self":[{"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/posts\/196480","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/comments?post=196480"}],"version-history":[{"count":28,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/posts\/196480\/revisions"}],"predecessor-version":[{"id":196697,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/posts\/196480\/revisions\/196697"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/media\/196372"}],"wp:attachment":[{"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/media?parent=196480"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/categories?post=196480"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/itblog.ldlnet.net\/index.php\/wp-json\/wp\/v2\/tags?post=196480"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}