Generative Artificial Intelligence: How generative AI works.pdf

GENERATIVE ARTIFICIAL
INTELLIGENCE
HOW GENERATIVE AI WORKS
©INGRID AIRI GONZÁLEZ
AI generated image: Copilot

• What´s generative AI?
• What it can and cannot do
• Common use cases: Writing, reading,
chatting
• Terms: Prompts and LLMs
• Lifecycle of a generative AI project
• Analysing tasks in jobs for automation or
augmentation potential
• Responsible and ethical AI
• Conclusions

WHAT´S GENERATIVE ARTIFICIAL INTELLIGENCE?
AI refers to machines that can simulate human intelligence,
like learning and problem-solving. Generative AI, a specific
branch of AI, takes it a step further. It can not only
understand information but also use it to create entirely new
things, like text, images, videos, audios or even music.
• It´s like having an AI artist or writer at your disposal. It
allows you to input various prompts and receive new content
in response: output. Think of it as a magical tool that can
create fresh text, images, videos, sounds, code, 3D designs,
and more.
•

WHAT GENERATIVE AI CAN AND CANNOT DO
 Can:
o Generate creative text formats, like poems, code, scripts,
musical pieces, email, letters, etc.
o Create realistic images and videos.
o Translate languages.
o Answer your questions in an informative way.
 Cannot:
o Replace human creativity, judgment, and common sense.
o Understand the real world or the meaning behind information.
o Feel emotions or have consciousness.
o Bias and toxicity /hallucinations /knowledge cutoffs

2 ESSENTIAL TERMS TO UNDERSTAND GENERATIVE AI
Prompts: Specific instructions given to the generative AI
model to guide its creative process. Imagine giving a
recipe to a chef, but instead of ingredients, you give
instructions for generating text, images… (imput)
Large Language Models (LLMs): These are the secret
sauce! LLMs are like super-smart language experts. A
system that has learned from tons of existing texts and
documents available online. When you give them a
prompt, they use their knowledge to generate new
content just by listening to your cues.

WHICH TASKS CAN GENERATIVE IA DO?
GenAI can do: tasks that any fresh college graduate can do
AI is a general-purpose technology because it is used for many
different tasks:
• Writing Web-based: ChatGPT, Bard, Bing
• Reading Software-based: emails, document
• Chatting search

Common use cases: Writing, reading, chatting
 Writing: Generate different creative text
formats, like poems, code, scripts, musical
pieces, etc.
 Reading: Summarize long articles, translate
languages, answer your questions based on
the content you're reading.
 Chatting: Chatbots powered by generative AI
can answer your questions, provide customer
service, or simply have a conversation.

IMAGE GENERATION

TIPS FOR PROMPTING
1. Be detailed and specific (clear)
2. Guide the model to think through its answers
3. Experiment and iterate
4. Don´t overthink the initial prompt
5. Be careful with confidential information
6. Whether or not you trust the output
PROMPT (INPUT) RESPONSE (OUTPUT)
Images by Deeplearning. AI

LIFECYCLE OF A GENERATIVE AI PROJECT
Major steps of the lifecycle of a Generative AI project:
This Sequence accurately represents the recommended steps in the life cycle
of a Generative AI project: AI generated image: Copilot
Scope the Project
Build/improve systems
Internal evaluation
Deploy and monitor:
(in case customers say something that causes the chatbot to respond in an unexpected way, monitoring lets you
discover problems and fix them)

ANALYZING TASKS IN JOBS
 Automation: Replacing human tasks entirely with AI.
o Imagine replacing a repetitive data entry job with an AI
that can handle it faster and more accurately.
 Augmentation: Enhancing human capabilities with AI
assistance.
o Think of a doctor using AI to analyze medical scans,
helping them make more informed decisions.

RESPONSIBLE AND ETHICAL AI
 Transparency: Understanding how AI works and its
potential biases.
 Fairness: Ensuring AI doesn't discriminate against individuals
or groups.
 Accountability: Taking responsibility for the development
and use of AI.
 Privacy: Protecting personal data used to train and operate
AI models.
 Security: to be safe from malicious attacks
 Ethical use: use it for beneficial purposes / to make people
better off

CONCLUSIONS
• How is Generative AI different from traditional AI?
It focuses on creation, not just analysis.
• It is important to become familiar with basic terms
to understand the world of GenAI
• The GenAI has enormous potential to improve
efficiency and creativity in many fields.
• It is important to be realistic about the limitations
of the GenAI and use it responsibly.
• By looking at your own work, you can identify areas
where GenAI can be useful
• Working with GenAI can be an exciting, challenging
and rewarding experience.
• Success at GenAI depends on effective collaboration
between different teams and people.
• Implementing an GenAI strategy requires careful
planning, investment and ethics
•

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