2. What is ChatGPT?
ChatGPT (Generative Pre-trained Transformer) is a natural language
processing (NLP) model that uses deep learning to generate human-like
responses to text-based conversations. It is a large-scale neural network
architecture that was pre-trained on vast amounts of textual data to
learn how to understand and generate language.
3. OpenAI
OpenAI is an American artificial intelligence (AI) research laboratory consisting of the
non-profit OpenAI Incorporated (OpenAI Inc.) and its for-profit subsidiary corporation
OpenAI Limited Partnership (OpenAI LP). OpenAI systems run on the fifth most powerful
supercomputer in the world
Samuel H. Altman
Founder
4. Ilya Sutskever Greg Brockman Andrej Karpathy Elon Musk
Co-founders of ChatGPT
There are several legal and ethical issues surrounding the use of ChatGPT and other large language models. Few of them
include :
5. Language Model
Language models are statistical methods predicting the succession of tokens in sequences, using natural text. Large language
models (LLMs) are neural network-based language models with hundreds of millions (BERT) to over a trillion parameters (MiCS),
and whose size makes single-GPU training impractical
GPT-3
Generative Pre-trained Transformer 3 (GPT-3) is an autoregressive
language model released in 2020 that uses deep learning to produce
human-like text. The architecture is a decoder-only transformer
network with a 2048-token-long context and then-unprecedented
size of 175 billion parameters, requiring 800GB to store. The model
was trained using generative pre-training; it is trained to predict
what the next token is based on previous tokens
6. Natural Language Processing (NLP)
Natural language processing (NLP) is an interdisciplinary subfield of linguistics, computer science, and artificial intelligence
concerned with the interactions between computers and human language, in particular how to program computers to process
and analyze large amounts of natural language data. The goal is a computer capable of "understanding" the contents of
documents, including the contextual nuances of the language within them
Sentence
Segmentation
Word
Tokenization
Stemming Lemmatization
Stop Word
Analysis
Dependency
Parsing
Part-of-Speech
Tagging
STEP 1 STEP 2 STEP 3 STEP 4 STEP 5 STEP 6 STEP 7
Natural Language Processing Pipeline
7. Automatic Speech Recognition
(Speech to text)
Listening
Natural Language Understand
Comprehending
Text to Speech
Dialog Management and Natural
Language Generation
Forming Response
VOICE
TEXT
VOICE
TEXT
Machine Learning and Deep Neural Networks
Conversational AI
The term conversational AI (artificial intelligence) refers to technologies, like virtual assistants or chatbots, that can “talk” to
people (e.g., answer questions). Conversational AI applications are often used in customer service.
8. Training Data
Training data is the data you use to train an algorithm or machine
learning model to predict the outcome you design your model to
predict. If you are using supervised learning or some hybrid that
includes that approach, your data will be enriched with data
labeling or annotation.
9. Ask complex questions Get better answers Get creative inspiration
Welcome to the new Bing
What is ChatGPT Bing and how does it
differ from other chatbot services?
How does ChatGPT Bing use ML to
improve its responses over time?
What industries and use cases is
ChatGPT Bing best suited for?
Bing is a web search engine developed and operated by Microsoft, launched in 2009 . The revamped search engine is significantly
more powerful than the previous version of Bing, thanks to a new interface, ChatGPT AI tech, and some other changes. This could
be the beginning of a new era of searching the web, one in which you tell your search engine what you want in a far more natural
and intuitive way.
10. Performance Evaluation of ChatGPT
Perplexity is a measure of
how well ChatGPT can
predict the next word in a
sequence of text. It
measures the level of
uncertainty in the model's
predictions, with lower
perplexity scores indicating
better performance.
Accuracy
Perplexity Fluency Human Evaluation
Accuracy measures how
often ChatGPT provides
correct responses to user
inputs. This metric is often
used in task-oriented
chatbots where the goal is to
provide accurate information
or complete a specific task.
Fluency measures how well
ChatGPT can generate natural-
sounding responses that are
grammatically correct and
coherent. This metric is
important for open-domain
chatbots that are designed to
generate human-like responses
in a conversational context.
Human evaluation involves
having human evaluators
assess the quality of ChatGPT's
responses. This can be done
through user surveys or by
having evaluators rate the
responses based on criteria
such as relevance, coherence,
and overall quality.
Performance evaluation of ChatGPT is typically done using metrics such as perplexity, accuracy, fluency, and human evaluation.
11. AI Chat Bots
An AI chatbot is a computer program that uses artificial intelligence
techniques such as natural language processing (NLP), machine
learning, and cognitive computing to simulate human conversation
or communication. The purpose of an AI chatbot is to provide
automated assistance or support to users through a messaging
interface, such as a chat window, text message, or voice chat. AI
chatbots can be used for a variety of purposes, such as
• Customer service
• Technical support
• Information retrieval
• Personal assistance
• Entertainment
12. Ethical Concerns of ChatGPT
There are several legal and ethical issues surrounding the use of ChatGPT and other large language models. Few of them
include :
• The model may generate text that is similar or identical to existing copyrighted content, potentially causing a copyright
infringement issue.
• Model may generate personal information or sensitive data that could be used to identify or harm individuals.
• Could lead to the model perpetuating harmful stereotypes or discrimination
• GPT-3 and other similar models have been trained on a massive amount of data, which may have come from questionable
sources, such as scraping of websites or other data collection methods which could have legal and ethical issues.
13. Future of ChatGPT
While chatbots certainly exist, ChatGPT is one of the first to produce such in-depth answers as clearly and human-like as it
does. This opens up a whole new opportunity for the business world.
Streamlining operations
1 Streamlining operations
2
• Data entry
• Appointment scheduling
• Reduce the risk of errors
• Improve the accuracy of data
• Ensuring businesses' efficiency and effectiveness
• Saving costs
• Improving productivity
• Strengthening the bottom line
Because ChatGPT is programmed to analyze immense
amounts of data from its neural network and generate
insights and suggestions based on that data, businesses can
make informed, cutting-edge, data-driven decisions.
More information on consumers can also spark creativity in
business professionals, allowing them to stay ahead of the
curve with new ideas that their customers will love.
14. Free Plan ChatGPT Plus
• Available when demand is low
• Standard response speed
• Regular model updates
• Available when demand is high
• Faster response speed
• Priority access to new features
Free/Paid versions of ChatGPT
OpenAI has recently rolled out its new subscription plan for the AI chatbot - ChatGPT Plus. The Plus subscription plan of ChatGPT
gets additional capabilities and features. Notably, the company confirmed that it will not stop the free to use ChatGPT services and
the new Plus plan comes with more features for the users.
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