Introduction to Large Language Model and Generative AI

Lesson 13/16 | Study Time: 0 Min

Course: INTRODUCTION TO DATA SCIENCE AND ANALYTICS

• What is Generative AI?

-Generative AI refers to a subfield
of Artificial Intelligence focused on creating new content, like text, images,
code, or music, rather than just analyzing existing data.

•It achieves this by learning
patterns from massive datasets and using those patterns to produce something
original.

Large
Language Models (LLMs)

•LLMs are a specific type of
generative AI designed to handle text.

•They're trained on vast amounts of
text data, enabling them to:

I. Generate text that is grammatically
correct and often indistinguishable from human-written content.

II. Understand and respond to natural
language prompts and questions.

III. Perform various tasks like
translation, writing different kinds of creative content, and answering your
questions in an informative way.

How do LLMs work?

•LLMs rely on complex algorithms,
often based on the Transformer architecture, to process and understand
language. .

•These algorithms analyze the
relationships between words and sentences, allowing them to predict the next
word in a sequence or generate new text based on a given prompt.

Key things to remember about LLMs

They are powerful tools, but not perfect:

•LLMs can be biased or inaccurate,
reflecting the biases present in their training data. It's crucial to be
critical of their outputs and avoid relying solely on them for information..

They are constantly evolving:

As research progresses, LLMs are becoming more sophisticated and
capable.

Applications of LLMs?

•Chatbots and virtual assistants

•Machine translation

•Text generation for marketing and advertising

•Personalized education and learning experiences

•Code generation and programming assistance.

Challenges and considerations:?

•Bias and fairness in training data

• Explainability and interpretability of model outputs

•Potential for misuse and manipulation.