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March 25, 2023, 11:00 IST
Mysore MuleSoft Meetup
MuleSoft Integration with ChatGPT –
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MuleSoft Community Awards

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MuleSoft Ambassadors
Giridhar Meka Shubham Chaurasia

Safe Harbour Statement
● Both the speaker and the host are organizing this meet-up in individual capacity only. We are
not representing our companies here.
● This presentation is strictly for learning purposes only. Organizer/Presenter do not hold any
responsibility that same solution will work for your business requirements.
● This presentation is not meant for any promotional activities.
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Housekeeping
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Introduction
● About the Organizers
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Shubham Chaurasia
Billennium India
Pro Integration Developer
A SHOW OF HANDS:
Who is new to this Meetup?
Giridhar Meka
Sr. Technical Architect
linkedin.com/in/giridharmeka
linkedin.com/in/shubhamchaurasia1

●About the Speaker :
Introductions
Shubham Chaurasia
MuleSoft Ambassador
Professional Integration Developer
Billennium India
2.5+ years of Experience in Integrations
MCD L1, MCD L2, MCPA, MCIA Certified (5x Mule)
Salesforce, AWS, GCP, Azure, Workato Certified
Mulesoft Meetup Leader | Mentor | Blogger | Speaker
AWS Community Builder
Gamer By Heart | Loves to Compete
https://www.linkedin.com/in/shubhamchaurasia1/
https://medium.com/@myid535
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Agenda
● Introductions
○ What is ChatGPT?
○ Using OpenAI ChatGPT
○ Introduction to ChatGPT API
○ MuleSoft Integration with ChatGPT
● Demo
● Q & A
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ChatGPT

ChatGPT

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● ChatGPT is a state-of-the-art natural language processing (NLP) model developed
by OpenAI.
● It is a variant of the popular GPT-3 (Generative Pre-trained Transformer 3) model,
which has been trained on a massive amount of text data to generate human-like
responses to a given input.
● ChatGPT is its ability to generate responses that are consistent with the context of
the conversation
● ChatGPT is also capable of performing a range of other NLP tasks, such as
language translation, text summarisation, and sentiment analysis
● Unlike traditional NLP models that rely on hand-crafted rules and manually labeled
data, ChatGPT uses a neural network architecture and unsupervised learning to
generate responses
What is ChatGPT

ChatGPT vs ChatGPT Plus
● ChatGPT Plus had a
Turbo mode that was
faster than the one
we have in the free
plan
● Access to GPT-4
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● Training Data: ChatGPT is trained on a large corpus of text data, while ChatGPT+ is
trained on an even larger and more diverse dataset, including more languages and
more varied types of text.
● Model Size: ChatGPT+ has a larger model size, meaning it has more parameters and
can capture more complex relationships between words and concepts.
● Training Techniques: ChatGPT+ uses more advanced training techniques, such as
curriculum learning and mixup, to further improve its performance.

ChatGPT 3.5 vs ChatGPT 4
● It defines parameters as “the parts of a large language model that define its skill
on a problem such as generating text.” It’s essentially what the model learns.
GPT-1 had 117 million parameters to work with, GPT-2 had 1.5 billion, and GPT-
3(Opens in a new window) arrived in February of 2021 with 175 billion
parameters. By the time ChatGPT was released to the public in November 2022,
the tech had reached version 3.5
● GPT-3.5 is a text-to-text model, GPT-4 is more of a data-to-text model
● GPT-4 has a longer memory than previous versions The more you chat with a bot
powered by GPT-3.5, the less likely it will be able to keep up, after a certain point
(of around 8,000 words). GPT-4’s short-term memory is closer to 64,000 words.
GPT-4 can even pull text from web pages when you share a URL in the prompt.
● GPT-4 accepts images as part of a prompt. It can even explain why memes are
funny.
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Limitations of ChatGPT
● It is a large and complex model, which makes it resource-intensive to run
● It is a generative model, which means that it is not always able to provide accurate
answers to specific questions
● Like all NLP models, is limited by the quality and quantity of the data it has been
trained on
● The model is not yet able to ask clarifying questions when user input is ambiguous
and instead tries to guess user intent
● Its resource-intensive nature and potential for irrelevant or nonsensical responses
make it less than ideal for certain applications
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Use OpenAI ChatGPT

OpenAI ChatGPT
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Introduction to
ChatGPT API

ChatGPT API
● Completions:- Given a prompt, the model will return one or more predicted
completions, and can also return the probabilities of alternative tokens at each
position.
● Models:- List and describe the various models available in the API. Understand what
models are available and the differences between them
● Chat:- Given a chat conversation, the model will return a chat completion response.
● Images:- Given a prompt and/or an input image, the model will generate a new image.
● Audio:- Learn how to turn audio into text
● The OpenAI API uses API keys for authentication. Check API Keys page to retrieve
the API key you'll use in your requests.
● The API is priced at $0.002 per 1K tokens. You have free credit to use, though
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MuleSoft Integration
with ChatGPT API

ChatGPT API Messages
● Messages must be an array of message objects, where each object has a role (either
"system", "user", or "assistant") and content (the content of the message).
Conversations can be as short as 1 message or fill many pages.
● Typically, a conversation is formatted with a system message first, followed by
alternating user and assistant messages.
● The system message helps set the behavior of the assistant.
● messages=[
● {"role": "system", "content": "You are a helpful assistant."},
● {"role": "user", "content": "Who won the world series in 2020?"},
● {"role": "assistant", "content": "The Los Angeles Dodgers won the World Series in
2020."},
● {"role": "user", "content": "Where was it played?"}
● ]
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Demo

Q&A

Take a stand !
● Nominate yourself for the next meetup speaker. Reach Out
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● Share:
○ Tweet using the hashtag #MuleSoftMeetups
○ Join Mysore Group: https://meetups.mulesoft.com/mysore/
● Feedback:
○ Fill out the survey feedback and suggest topics for upcoming events
○ Contact MuleSoft at meetups@mulesoft.com for ways to improve the program
○ Reach out to Mysore Meetup Leaders (Shubham/Giridhar) to suggest topics
for next Meetup
What’s next?
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Thank you