AI prompt engineering techniques with students of HUTECH Faculty of Information Technology

Following the cooperation with TMA Tech Group and Step IT Technology Academy Vietnam, the Faculty of Information Technology - Ho Chi Minh City University of Technology (HUTECH) organized a seminar on "Learning and Solving Problems with Prompt Engineering".
 
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The seminar attracted a large number of students

 
Taking the role of speakers were Ms. Natalja Rodionova - General Director of Step IT Vietnam and Mr. Tran Duc Nguyen - AI Technical Leader at TMA Tech Group.
Representatives of the Faculty of Information Technology were Dr. Vu Thanh Hien - Vice Dean, Dr. Huynh Quoc Bao - Vice Dean, Mr. Duong Thanh Phet - Vice Dean.
 
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The representatives of HUTECH and guests attended the program
 
With extensive experience in technology, Ms. Rodionova shared about the ubiquitous application of AI in today's life. 
 
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Speakers received appreciative gifts from HUTECH representatives
 
Ms. Rodianova has revealed some effective ways of writing AI prompts based on basic principles.
She introduced the PREPARE formula including the following steps: Prompt (concisely posing questions); Role (clearly defining the role of AI in the request); Explicit (providing clear and comprehensible information); Parameters (specifying specific and binding parameters); Ask (asking the specific question); Rate (evaluating the results from AI); Emotions (adding emotion to Prompt can sometimes help the AI better comprehend the request). 

 
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The speaker shared about the common applications of AI in today's life
 
To help students practice writing prompts, Mr. Tran Duc Nguyen provided detailed instructions and illustrations to produce the best outcomes. 
 
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The acquired knowledge helps students interact with AI technology more effectively

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The seminar helped students gain more knowledge about effective prompt engineering techniques
 
Hopefully, with the sharing from the two speakers, the students of HUTECH Faculty of Information Technology will obtain comprehensive knowledge about prompt engineering, laying the groundwork for effective AI application in study and work.
 
News: Anh Thu - Xuan Mai
Images: Tien Dat
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