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Einstein GPT- World’s
First Generative AI for
CRM
Anmol Verma
Email- v.anmol.verma@gmail.com
Twitter-@anmol_verma__c
Kailash Chandra
Salesforce Project Manager@Webkul,
Group Leader, Salesforce Admin Group,
Dehradun
Anmol Verma
Associate Technical Consultant
Salesforce.com Pvt. Ltd.
Agenda
● Essential Terminology of AI
● What is Generative AI?
● CRM with Generative AI
● Einstein GPT
● Open Talk/Q&A
Essential Terminology
● Artificial Intelligence
● Neural Networks
● Deep Learning
● Natural Language Processing(NLP)
● Generator
● Transformer
● Large Language Model (LLM)
● Generative pre-trained transformer
(GPT)
Artificial Intelligence
● Artificial intelligence is the
simulation of human
intelligence processes by
machines, especially computer
systems.
● Specific applications of AI
include expert systems, natural
language processing, speech
recognition and machine vision.
Neural Networks
● A neural network is a method in artificial
intelligence that teaches computers to
process data in a way that is inspired by
the human brain.
● It is a type of machine learning process
that uses interconnected nodes or
neurons in a layered structure that
resembles the human brain.
● Creates an adaptive system that
computers use to learn from their
mistakes and improve continuously.
● Example - Summarizing documents or
recognizing faces, with greater accuracy.
Deep Learning
● Deep learning teaches computers to
process data in a way that is inspired
by the human brain.
● Deep learning models can recognize
complex patterns in pictures, text,
sounds, and other data to produce
accurate insights and predictions.
● Can be used to automate tasks that
typically require human intelligence,
such as describing images or
transcribing a sound file into text.
Natural Language Processing (NLP)
● NLP is a field of artificial
intelligence that focuses on how
computers can understand,
interpret, and generate human
language.
● It’s the technology behind things
like voice-activated virtual
assistants, language translation
apps, and chatbots.
Generator
● A generator is an AI-based
software tool that creates new
content from a request or input.
● It will learn from any supplied
training data, then create new
information that mimics those
patterns and characteristics.
● ChatGPT by OpenAI is a
well-known example of a
text-based generator.
Transformer
● Transformers are a type of deep
learning programs, and are especially
useful for processing language.
● They’re really good at understanding
the context of words in a sentence
because they create their outputs
based on sequential data (like an
ongoing conversation), not just
individual data points (like a sentence
without context).
● The name “transformer” comes from
the way they can transform input data
(like a sentence) into output data (like a
translation of the sentence).
Large Learning Models (LLM)
● Large language models (LLM)
are very large deep learning
models that are pre-trained on
vast amounts of data.
● Consists of encoder and a
decoder with self-attention
capabilities.
● The encoder and decoder
extract meanings from a
sequence of text and
understand the relationships
between words and phrases in
it.
Generative Pre-Trained Transformer (GPT)
● GPT is a neural network family
that is trained to generate
content.
● GPT models are pre-trained on a
large amount of text data, which
lets them generate clear and
relevant text based on user
prompts or queries.
● Example- Create Images, Write
Code, Analyse Data, Generate
Learning Materials etc.
What is Generative AI?
● Generative AI enables users to
quickly generate new content
based on a variety of inputs.
● Inputs and outputs to these
models can include text,
images, sounds, animation, 3D
models, or other types of data.
● Uses statistical models to
predict what an expected
response might be - and this
generates new content.
CRM with Generative AI
● CRM is a technology that keeps
customer records in one place to
serve as the single source of truth for
every department, which helps
companies manage current and
potential customer relationships.
● Generative AI can make CRM even
more powerful — think personalized
emails pre-written for sales teams,
ecommerce product descriptions
written based on images alone,
marketing campaign landing pages,
contextual customer service ticket
replies, and more.
Ready for a challenge… Open this link
https://tinyurl.com/genAIDehradun
Questions? Ask me Anything!

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Generative AI by Salesforce Admin Group Dehradun

  • 1. Einstein GPT- World’s First Generative AI for CRM Anmol Verma Email- v.anmol.verma@gmail.com Twitter-@anmol_verma__c
  • 2. Kailash Chandra Salesforce Project Manager@Webkul, Group Leader, Salesforce Admin Group, Dehradun Anmol Verma Associate Technical Consultant Salesforce.com Pvt. Ltd.
  • 3. Agenda ● Essential Terminology of AI ● What is Generative AI? ● CRM with Generative AI ● Einstein GPT ● Open Talk/Q&A
  • 4. Essential Terminology ● Artificial Intelligence ● Neural Networks ● Deep Learning ● Natural Language Processing(NLP) ● Generator ● Transformer ● Large Language Model (LLM) ● Generative pre-trained transformer (GPT)
  • 5. Artificial Intelligence ● Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. ● Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
  • 6. Neural Networks ● A neural network is a method in artificial intelligence that teaches computers to process data in a way that is inspired by the human brain. ● It is a type of machine learning process that uses interconnected nodes or neurons in a layered structure that resembles the human brain. ● Creates an adaptive system that computers use to learn from their mistakes and improve continuously. ● Example - Summarizing documents or recognizing faces, with greater accuracy.
  • 7. Deep Learning ● Deep learning teaches computers to process data in a way that is inspired by the human brain. ● Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions. ● Can be used to automate tasks that typically require human intelligence, such as describing images or transcribing a sound file into text.
  • 8. Natural Language Processing (NLP) ● NLP is a field of artificial intelligence that focuses on how computers can understand, interpret, and generate human language. ● It’s the technology behind things like voice-activated virtual assistants, language translation apps, and chatbots.
  • 9. Generator ● A generator is an AI-based software tool that creates new content from a request or input. ● It will learn from any supplied training data, then create new information that mimics those patterns and characteristics. ● ChatGPT by OpenAI is a well-known example of a text-based generator.
  • 10. Transformer ● Transformers are a type of deep learning programs, and are especially useful for processing language. ● They’re really good at understanding the context of words in a sentence because they create their outputs based on sequential data (like an ongoing conversation), not just individual data points (like a sentence without context). ● The name “transformer” comes from the way they can transform input data (like a sentence) into output data (like a translation of the sentence).
  • 11. Large Learning Models (LLM) ● Large language models (LLM) are very large deep learning models that are pre-trained on vast amounts of data. ● Consists of encoder and a decoder with self-attention capabilities. ● The encoder and decoder extract meanings from a sequence of text and understand the relationships between words and phrases in it.
  • 12. Generative Pre-Trained Transformer (GPT) ● GPT is a neural network family that is trained to generate content. ● GPT models are pre-trained on a large amount of text data, which lets them generate clear and relevant text based on user prompts or queries. ● Example- Create Images, Write Code, Analyse Data, Generate Learning Materials etc.
  • 13. What is Generative AI? ● Generative AI enables users to quickly generate new content based on a variety of inputs. ● Inputs and outputs to these models can include text, images, sounds, animation, 3D models, or other types of data. ● Uses statistical models to predict what an expected response might be - and this generates new content.
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  • 20. CRM with Generative AI ● CRM is a technology that keeps customer records in one place to serve as the single source of truth for every department, which helps companies manage current and potential customer relationships. ● Generative AI can make CRM even more powerful — think personalized emails pre-written for sales teams, ecommerce product descriptions written based on images alone, marketing campaign landing pages, contextual customer service ticket replies, and more.
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  • 35. Ready for a challenge… Open this link https://tinyurl.com/genAIDehradun
  • 36. Questions? Ask me Anything!