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DTSTAMP:20240207T142356Z
UID:840A43AC-E244-4A3B-8CDB-EDF499C098AC
DTSTART;TZID=Europe/Dublin:20231108T133000
DTEND;TZID=Europe/Dublin:20231108T143000
DESCRIPTION:This talk explores the critical concept of prompt engineering i
 n Conversational AI. By carefully crafting and refining prompts\, we enhan
 ce the performance and control of large language models (LLMs)\, allowing 
 for more effective and contextually appropriate text generation. The talk 
 covers the following topics: 1)Why prompt engineering is a required skill 
 for Generative AI practitioners\; 2) How to design and test effective prom
 pts for different LLMs\; 3) Advanced tools for prompt engineering\, such a
 s LangChain\, AutoGPT\, and BabyAG\; 3) UIs for advanced prompt engineerin
 g: Flowise and Langflow\; 4) Generative Assistants and the orchestration o
 f multiple assistants. Note: As everything in Generative AI\, including Pr
 ompt Engineering\, is changing quickly\, some parts of the presentation ou
 tline might change.\n\nCo-sponsored by: Ulster University\n\nSpeaker(s): D
 r. Marina Ashurkina\n\nRoom: 03-006\, Bldg: BD\, Ulster Univrsity\, Belfas
 t\, Northern Ireland\, United Kingdom\, Virtual: https://events.vtools.iee
 e.org/m/405464
LOCATION:Room: 03-006\, Bldg: BD\, Ulster Univrsity\, Belfast\, Northern Ir
 eland\, United Kingdom\, Virtual: https://events.vtools.ieee.org/m/405464
ORGANIZER:h.zheng@ulster.ac.uk
SEQUENCE:5
SUMMARY:The Art of Prompt Engineering: the Effective Use of Large Language 
 Models in Conversational AI
URL;VALUE=URI:https://events.vtools.ieee.org/m/405464
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;This talk explores the critical concept of
  prompt engineering in Conversational AI. By carefully crafting and refini
 ng prompts\, we enhance the performance and control of large language mode
 ls (LLMs)\, allowing for more effective and contextually appropriate text 
 generation. The talk covers the following topics: 1)Why prompt engineering
  is a required skill for Generative AI practitioners\; 2) How to design an
 d test effective prompts for different LLMs\; 3) Advanced tools for prompt
  engineering\, such as LangChain\, AutoGPT\, and BabyAG\; 3) UIs for advan
 ced prompt engineering: Flowise and Langflow\; 4) Generative Assistants an
 d the orchestration of multiple assistants. Note: As everything in Generat
 ive AI\, including Prompt Engineering\, is changing quickly\, some parts o
 f the presentation outline might change.&lt;/p&gt;
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