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Topics Covered
- Applications of LLMs in marketing
- Applications of LLMs in sales
- Implementing LLMs in your business
- Recommended tools
- Ethical considerations and challenges
Talk Citation
Mendoza, J. (2025, December 31). Large language models in marketing and sales [Video file]. In The Business & Management Collection, Henry Stewart Talks. Retrieved December 31, 2025, from https://doi.org/10.69645/RUQT6893.Export Citation (RIS)
Publication History
- Published on December 31, 2025
Other Talks in the Series: AI in Marketing
Transcript
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0:00
Good day, everyone.
I'm Dr. Jose Mendoza, and
today, we're diving into
an exciting and
rapidly evolving area
of artificial intelligence,
large language models or LLMs.
These models are at the
forefront of AI technology
transforming how businesses
engage with customers,
create content, and drive sales.
0:23
Large language models are
sophisticated AI systems
training robust amounts
of test data enabling
them to understand,
generate and manipulate
human language
with unprecedented
accuracy and fluency.
The implications
of the technology
for marketing and
sales are profound.
LLMs can automate
labor-intensive tasks
such as customer service
and content creation,
while enabling new levels of
personalization and
marketing efforts.
Throughout this presentation,
we'll explore what LLMs are,
how they function, how
they can be harnessed
to create value
in your business.
We'll also address some
ethical considerations
and challenges of using
these powerful models.
And aim to comprehensively
understand
how LLMs can be integrated
into your business strategy
to enhance customer engagement,
streamline operations
and drive growth.
Let's begin by exploring what
large language models are,
and why they are so crucial
in today's digital landscape.
1:19
Large language models
or LLMs represent
one of the most
advanced and versatile
artificial intelligence
applications.
These models are built using
deep learning techniques,
which involve training
algorithms on vast amounts of
text data to recognize
patterns in language.
The training data set
for LLMs typically
includes billions of words
sourced from various materials,
everything from
books and articles,
to social media
posts and websites.
This extensive
training allows LLMs
to develop a nuanced
understanding of language,
including syntax, semantics,
and even the subtleties
of tone and content.
Examples of LLM you
might be familiar with
include ChatGPT,
Claude, and GPT-4.0.
These models are
capable of generating
text that is coherent,
contextually appropriate,
and often undistinguishable
from text written by humans.
For instance, asking one
of these models a question
can generate a detailed
and informative response
that feels as though a
knowledgeable person crafted it.
But LLMs are not just
about generating text,
they can also be used to
interpret and analyze language,
making them
incredibly useful for
various applications in
marketing and sales.
Whether you're looking to
automate customer interactions,
create personalized content,
or gain insight from large
volumes of text data,
LLMs offer a powerful solution.
As we move forward,
we'll explore
how these capabilities
can be applied
to enhance your
business operations,
and achieve your marketing
and sales goals.