The document outlines an agenda for a meetup group discussing ChatGPT. It will include introductions, an overview of what ChatGPT is and how it works, potential applications and use cases for integrating ChatGPT with Mulesoft, and a demonstration. The meetup aims to educate attendees on the new ChatGPT technology and explore how it could be used to enhance systems built with Mulesoft, such as providing customer assistance or automating development tasks.

1. Noida MuleSoft Meetup Group
ChatGPT- Why, When, Where and How

2. 2
● Introductions
● All about the new buzz taking over, the ChatGPT
● Integration with Mulesoft
● Networking time
Agenda

3. 3
Organizer
Speakers
Introductions
A SHOW OF HANDS:
Who is new to this Meetup?

4. Chat GPT

5. What is ChatGPT
ChatGPT is a large language model developed by OpenAI, based on the GPT (Generative Pre-trained Transformer) architecture. It is
designed to generate human-like responses to natural language inputs, such as questions or prompts.
Here's a simplified overview of how ChatGPT works:
1. Pre-training: ChatGPT is pre-trained on a large corpus of text data, such as books, articles, and websites. During pre-training, the
model learns to predict the next word in a sentence, based on the context provided by the preceding words.
2. Fine-tuning: After pre-training, ChatGPT can be fine-tuned on specific tasks, such as question-answering or language translation.
Fine-tuning involves training the model on a smaller dataset of examples that are relevant to the task at hand.
3. Inference: Once ChatGPT is trained, it can be used for inference, which means generating responses to natural language inputs.
When a user enters a prompt or question, the model generates a probability distribution over possible responses, based on the input
and its learned knowledge. The highest probability response is then selected and returned to the user.
4. Continuous learning: ChatGPT can also be updated with new data to improve its performance over time. This process is called
continuous learning or incremental learning, and it involves re-training the model on new data while preserving its existing knowledge.
Overall, ChatGPT's ability to generate human-like responses is made possible by its sophisticated language processing algorithms and its
training on vast amounts of text data. However, it is important to note that ChatGPT is still an artificial intelligence system and may
occasionally produce errors or biased responses.
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6. Applications of ChatGPT
1. Customer service and support
2. Personal assistants and chatbots
3. Language translation and interpretation
4. Education and e-learning
5. Mental health counseling
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7. Advantages of ChatGPT
1. 24/7 Availability
2. Quick and accurate responses
3. Scalability and flexibility
4. Cost-effective
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8. Limitations and Challenges
1. Dependence on data quality
2. Biases in language and culture
3. Limited ability to understand emotions and non-verbal cues
4. Ethical concerns
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9. Use cases using Salesforce and
MuleSoft ecosystem

10. Use cases
1. Salesforce CRM assistant
2. Chat support for ecosystem
3. Anypoint platform assistant
4. Writing API specs (Structure)
5. Create DevOps pipelines (Structure)
6. Apex class development (Structure)
7. SOQL queries (Structure)
and so on…
10

11. Demo

13. TAKE AWAY

14. 14
● Share:
○ Tweet using the hashtag #MuleSoftMeetups
○ Invite your network to join: https://meetups.mulesoft.com/noida/
● Feedback:
○ Fill out the survey feedback and suggest topics for upcoming events
○ Contact MuleSoft at meetups@mulesoft.com for ways to improve the program
What’s next?

15. Introduce yourself to your neighbor
Networking time

16. Thank you
For investing your time and participating