The document discusses ChatGPT, an AI assistant created by OpenAI to be helpful, harmless, and honest. It provides an overview of ChatGPT's capabilities, including uses for tasks like translation, creativity, and academic writing through activities like paper reviewing and topic finding. The document tests ChatGPT by having it review one of the author's own publications and examines methods for detecting AI-generated text.
Presentation by Andry Alamsyah introduces ChatGPT as a tool for academic writing.
Discusses the evolution of AI from Narrow to General and Super Intelligence.
Explains Deep Learning and its applications such as Deep Fake and object detection.
Defines NLP, its methods, applications like translation and chatbots, and importance in AI.
Provides insights into ChatGPT, its adoption, usages, and distinctions between free and paid versions.Explores various ChatGPT applications including chatbots, translation, creativity, and academic uses.Presents method and resources for identifying text generated by AI.
Andry Alamsyah
•Researcher /Data Scientist
•Associate Professor, School of Economics and Business, Telkom
University
•Chief and Founder of Lab. Social Computing & Big Data
•Chairman & Founder Indonesian Data Scientist Society (AIDI)
•Honorary Member of Asosiasi Blockchain Indonesia (ABI)
Introduction
email [email protected]
blog andrya.staff.telkomuniversity.ac.id
repository researchgate.net/profile/Andry_Alamsyah
repository arxiv.org/a/0000-0001-5106-7561
linkedin linkedin.com/andry.alamsyah
twitter twitter.com/andrybrew
4.
Agenda
• AI Contextand Understanding Language
• What is ChatGPT
• ChatGPT Usecase
• ChatGPT for Academic Writing
5.
Decade 2030s
Artificial GeneralIntelligence (Human Level Intelligence)
Decade 2040s
Artificial Super Intelligence (Better than Human)
Decade 2010s
Big Data, Data Analytics, Machine Learning
Decade 2020s
Artificial Narrow Intelligence (Domain Base)
SuperIntelligence, Nick Bostrom
Artificial Intelligence
6.
Deep Learning toSupport AI
artificial neural network convolutional neural network
1
2
3
7.
Deep Learning Model
DeepFake
AI Powered News / Article
Discriminative
Generative
Object Detection
Object Recognition
8.
Natural Language Processing(NLP)
A field of study that focuses on developing algorithms and computational
models to analyze, understand, and generate human language. NLP involves
applying CS, linguistics, and AI techniques to process and manipulate natural
language data, such as text and speech.
NLP aims to enable machines to interact with human language as humans do, allowing for tasks
such as language translation, sentiment analysis, speech recognition, and chatbot development.
This involves developing algorithms and models to recognize patterns and extract meaningful
information from large text or speech data volumes.