CHATGPT:
MASTER EFFECTIVE
DIALOGUE
HAIK MHERIAN
Chief AI Officer at
Temabit | Fozzy Group
AI & BigData Day
01.04.23

OVERVIEW
● ChatGPT's fundamentals
● Prompting & dialogue management
principles
● Real-life use cases

WHY IT IS IMPORTANT

OUTLINE
1. What is GPT
2. ChatGPT Training Process
3. Aligning expectations: Strong Sides & Limitations
4. Prompt Engineering and Dialogue Management Principles
5. Real-life Use Cases

INTRODUCTION TO GPT
By predicting
words, GPT learns
from a large
corpus of text
data, gaining
knowledge in
many areas.

ChatGPT TRAIN PROCESS
1. Create language model:
pretrain GPT on large corpus
of text to predict next token
2. Fine-tune GPT for chats:
supervised train on limited
number of Q&A pairs created
by humans
3. Train a reward model:
ChatGPT generates an output
that is evaluated by human
feedback
4. Reinforcement learning:
ChatGPT generates an output
that is evaluated by the
reward model

STRONG SIDES
1. Vast knowledge across domains
2. Capability to grasp main concepts
3. Coherent, grammatically correct output
4. Multilingual and Multi-Modal
5. Conversational Interaction

LIMITATIONS
- Plausible but Incorrect Information

LIMITATIONS
- Plausible but Incorrect Information
- Sensitivity to Input Phrasing
- Guessing intent
- May not always be up-to-date
- Verbosity and Overuse of Phrases

MAIN PRINCIPLES
1. BE SPECIFIC
2. BE CLEAR
3. MAINTAIN COHERENCE
4. ITERATE & REFINE

BE SPECIFIC
● Define the goals
and outcomes
● Specify Format
● Provide Relevant
Context

BE CLEAR
● Сoncise language
● Natural formulation
● Focus on main intent

MAINTAIN
COHERENCE
● Logical progression
● One question at a
time
● Be consistent

ITERATE
● Use follow-up
questions
● Use principles &
tricks
● Experiment

PROMPTing & DIALOGUE
management
Prompt engineering designing effective input prompts to elicit accurate
and relevant responses from ChatGPT.
To succeed in prompt engineering, it is essential to understand the
model's behavior, including its training data, strengths, and limitations.
Dialogue management orchestrates coherent and purposeful
conversations with ChatGPT.
To succeed in dialogue management, you must design a dialogue
structure that outlines the conversation flow, goals, context, and
outcomes.

USE CASES
● OpenAI Telegram chatbot
● Enhancing your writing
● Summarizing like expert
● Generating study schedules
● Conducting research
● Creating presentations
● Recommendations (music, movie, books)
● Role prompt generator
● Brainstorming

TELEGRAM
CHATBOT

WRITE
MESSAGES

SUMMARIZE
● Simple summary
● Topic 1 vs Topic 2 (Business vs computer
vision)
● What is cause ?
● In layman's term
● Why ?

CONCLUSION

Q&A
LET’S TALK )

THANK YOU FOR
ATTENTION!
Mgerian Haik
Chief AI Officer at
Temabit | Fozzy Group